Vollna AI Bot for Upwork Projects

Sir good day.. may project po sana ako papa gawa para sa department namin.. nasa ems po kami ambulance. Ang problema po kasi nmin is your reporting ng mga nagamit na medical items sa trauma bags namin.. meron po kaming 12 Trauma Bags at 2 Mission Bag, each bags po has 7 pocket.. like example sa pocket 1 meron doon splints, bandage, sa pocket 2 merong fluids, p.o na gamot like paracetamol, hangang sa pocket 7 which is iba2x.. now mangyari gusto ko sana interactive yung reporting mas maigi

Skills: Ecommerce, Full-Stack Development, Mobile App, Web Scraping, Web Crawling, Automation Framework, Excel Macros, Desktop Application, AI Agent Development, AI App Development, API Development, API Integration, Golang, Generative AI, Bot Development

ABOUT
- Locate.ai is the first Vertical AI leasing service for national retail brands. We are rapidly building and iterating the development of AI for internal workflow automation.

CRITERIA
- Someone who is an expert at building AI agents for today's modern world.
- Someone who has built many successful enterprise-grade AI agents for technology companies to improve efficiency

RESPONSIBILITIES
- Create workflow AI agents to automate admin tasks
- Create system to catch edge cases and add new examples to agent prevent edge cases in future
- Create “agent as judge” system to measure LLM response accuracy
- Create reenforcement learning system to create system to annotate and add new examples to LLM training
- Experience with tools like n8n required
- Experience with mysql is a plus
- Experience with python is a plus

NEXT STEPS
- If you're interested, please reply with the following: Your resume, a video recording of demos of AI agents that you've built that are fully functional

Skills: AI Agent Development, AI App Development, AI Bot, Artificial Intelligence

📋 Job Description:
I am looking for a developer to set up and configure Zendesk (or a similar ticketing system) to manage task submissions, document uploads, and notifications for multiple sub-corporations.

The system should allow me to:
✅ Submit tasks by selecting a sub-corporation and task type
✅ Automatically notify the provider company through internal notifications and a messaging app when tickets are created or updated
✅ Enable the provider company to log in, view, manage, and upload documents for all assigned tickets
✅ Set auto-reminders for pending tasks after 24-48 hours

✅ Scope of Work:
1️⃣ Zendesk Installation and Configuration
Install and configure Zendesk (or a similar ticket system)

Create 18 predefined task types with a dropdown selection for sub-corporations

Configure ticket submission with task-specific fields, including checkboxes for selecting months if needed

2️⃣ Provider Login and Document Upload System
Create a single provider account with access to:

Log in and view all tickets across multiple sub-corporations

Upload documents and attach them to the relevant tickets

Update ticket statuses (if configured with the right permissions)

Enable ticket visibility for the provider across all tasks and organizations

Ensure uploaded documents are attached with a timestamp for audit tracking

3️⃣ Task Notifications and Messaging App Integration
Configure notifications to the provider when:

A new ticket is created

A task is updated or nearing its deadline

Use Zapier or API integration to send notifications to a messaging app for:

New ticket submissions

Task updates and document uploads

4️⃣ Auto-Reminder Setup for Pending Tasks
Set up automatic task reminders for pending document uploads or incomplete tickets after 24-48 hours

Ensure these reminders are sent via internal notifications and a messaging app

5️⃣ Admin Dashboard and Basic Ticket Management
Configure a basic admin interface with:

Search and filter options based on task type, date, and sub-corporation

Status tracking for all submitted tickets

Ability to view ticket audit logs and document history

📩 Desired Deliverables:
Fully functional Zendesk system with ticket submission and management

Successful integration of task notifications and messaging app alerts

Secure provider login with access to view and update all assigned tickets

Documentation for maintaining and modifying the system

⏳ Timeline:
I need this completed within 3-4 days with immediate testing and implementation

Skills: Telegram API, Database, Zendesk API, AI Bot

We are seeking a skilled developer to create an AI bot that can intelligently underwrite potential deals in the real estate market, specifically focusing on listings from MLS, Zillow, Redfin, and similar platforms. The ideal candidate will have experience in AI and machine learning, with a strong understanding of real estate data analysis. This project requires innovative thinking and technical expertise to ensure the bot can accurately assess deal potential and provide valuable insights. If you are passionate about AI and real estate, we want to hear from you!

**Relevant Skills:**
- AI & Machine Learning
- Real Estate Market Analysis
- Data Scraping & Processing
- Python or JavaScript Programming
- Natural Language Processing (NLP)

Skills: Python, Bot Development, Artificial Intelligence, Data Scraping, Natural Language Processing

We are looking for an experienced developer to build an AI bot that retrieves questions from online application forms. The bot should be capable of identifying any restrictions and notifying a human operator if a fail notice is required. This project will involve understanding application form structures, implementing AI algorithms for question extraction, and ensuring seamless human interaction for exceptions. If you have a passion for AI and experience in similar projects, we would love to hear from you!

Skills: JavaScript, Python, API, C#, Java

I’m looking for a skilled developer to help build an AI solution designed to assist Moroccan agencies that support students in studying in China. The goal is to create an intelligent assistant that:

Answers student inquiries (admissions, visa processes, scholarship details, etc.)

Streamlines document verification and application tracking

Provides personalized university recommendations

Bridges language gaps between students and Chinese institutions

This project aims to boost the efficiency of these agencies and help direct more students to the right educational opportunities. If you have expertise in AI, chatbot development, and document processing, I’d love to discuss further details with you.

Looking forward to your response!

Skills: Artificial Intelligence, Web Development, Machine Learning, Deep Learning, Neural Network, AI Agent Development, AI App Development, AI Bot, AI Classifier, AI Development, AI Code Generator, Back-End Development, Computer Vision, Natural Language Processing, AI Consulting

We are seeking a creative developer to create a 'GPT-Style Bot' that brings our illustrated character to life in various situations/images.

This bot should be able to generate contextual dialogues and respond dynamically, mimicking the character's personality and style.

The project requires a strong understanding of natural language processing and chatbot design, as well as artistic skills to align bot responses with illustrated scenarios. I

f you have experience with character development and AI, we would love to hear from you!

Skills: Python, AI Bot, AI Builder, ChatGPT

I need to build an Python Based Predictive Modeling for Agriculture( that work with Random Forest Algorithm for prediction) Web app from Django. The Web should be able to take as input an CSV file containing nutriments measurement and give as output some graphs representing the level of each nutriment and also an case where the grade( from 0 to 2 ) of the soil is specified. The web App will contain an AI Bot that give suggestion on how to do to ameliorate the soil or the suitable crop for that soil.

Skills: Django, Web Application, Machine Learning, Python

I built a valuation calculator for businesses at valuation.batonstrategies.com through the Lovable AI app. The app has the ability to collect information and record it in Supabase, as well as email me when a new submission happens. But it doesn't have the ability to make the calculations on its own and display the results to the user. I have an Excel spreadsheet that has all of the info needed (comparable businesses that have sold, broken down by industry) to determine the right multiple to use in order to give the valuation. However, I am struggling to get the app to make the calculation and display it on the site. Will you be able to help me complete the valuation for the users?

Skills: Flutter, Android, iOS, Android App Development, Firebase, ChatGPT, RESTful API, Hybrid App Development, ChatGPT API, Smartphone, User Authentication, AI Bot, AI App Development, Dart, JavaScript

I need to build an Python Based Predictive Modeling for Agriculture( that work with Random Forest Algorithm for prediction) Web app from Django. The Web should be able to take as input an CSV file containing nutriments measurement and give as output some graphs representing the level of each nutriment and also an case where the grade( from 0 to 2 ) of the soil is specified. The web App will contain an AI Bot that give suggestion on how to do to ameliorate the soil or the suitable crop for that soil.

Skills: PostgreSQL, Python, JavaScript, MySQL, React, Django, Tailwind CSS, Next.js, Web Application, RESTful API, Flutter, Conversion to HTML, Mobile App Development, Front-End Development, Back-End Development

Hiring Website & App Developer (Team or Individual)
Remote
Contract-Based / Project-Based

About Us
We are a forward-thinking company in the medical and wellness industry, committed to delivering seamless online experiences for our patients and customers. We are seeking a skilled website and app developer (individual or team) to build a fully functional platform that integrates third-party services and AI-powered sales agents across all channels.

Role Overview
You will be responsible for:
PHASE I: Developing a website with a user-friendly interface, supporting predetermined third-party integrations such as:
- Supplement delivery services
- Lab test booking and results viewing
- Membership portals with discounted supplement pricing; Intake Forms
- Patient personal training services
PHASE II: Creating a mobile app that mirrors the website’s interface and functionalities, ensuring a seamless user experience across both platforms.
Integrating a predetermined AI sales agent to automate customer engagement and support across multiple channels.
Ensuring the platform complies with health data privacy regulations and delivers a secure and intuitive experience for medical-related services.

Key Requirements:
- Experience in medical field website development with a strong understanding of medical terminology and patient-related functionalities.
- Proven expertise in third-party integrations (APIs, payment gateways, logistics, etc.).
- Ability to work with any programming language that supports third-party integrations.
- Portfolio and client references from previous relevant projects are required.
- Experience in integrating AI-powered sales agents across web and app platforms.
- Strong UX/UI design skills, ensuring the platform is accessible and easy to navigate.

Preferred Skills & Expertise:
- Experience with HIPAA or health data compliance.
- Familiarity with e-commerce platforms for supplement sales and membership discounts.
- Proficiency in developing cross-platform apps (iOS & Android).
- Strong knowledge of cloud-based services and hosting platforms.

If you are a skilled developer or team with experience in medical website and app development, we’d love to hear from you!

Submit your application with:
- Your portfolio showcasing relevant projects
- Client references
- A brief outline of your proposed tech stack and third-party integration approach

Skills: Web Application, AI Bot, AI Model Integration, API Integration, Web Development, iOS, Android, Smartphone, Mobile App Development, Web Design

Description:

We are seeking an experienced voice automation developer to help us build and deploy a conversational AI phone agent for dental practice front desk automation. The ideal candidate will have prior experience with platforms like Vapi and/or Retell AI (or similar voice LLM tools), and a strong understanding of call flow architecture, conversational logic, and API integrations with third-party software tools.

🔧 Project Overview
Our goal is to develop a custom AI voice assistant that functions as a virtual front desk receptionist for dental practices. This system should be capable of intelligently handling incoming patient calls, scheduling and rescheduling appointments, confirming information, and escalating or transferring when needed — all with minimal latency and natural-sounding voice interaction.

✅ Core Functionalities
The voice automation system must be capable of:

📞 Answering inbound calls based on a set call schedule (i.e., during peak hours, after hours, overflow).

🗓️ Managing appointment scheduling and rescheduling, integrating with a third-party calendar or PMS when applicable.

✏️ Handling basic patient inquiries (e.g., “Do you accept my insurance?”, “Where are you located?”, “What services do you offer?”).

🔁 Transferring live calls to human staff for complex inquiries or new patient onboarding when needed.

🧠 Recognizing caller intent and responding conversationally with high accuracy and low latency.

🔔 Sending appointment confirmations/reminders via email or SMS.

📄 Generating call summaries and transcripts with optional tagging (e.g., "New Patient", "Reschedule", etc.).

🔒 Logging and storing transcripts securely for follow-up or EHR input (manual or integrated).

🎤 Custom voice selection (from a library of natural voices or potential voice cloning).

📌 Requirements
Experience building and deploying applications using Vapi, Retell AI, or similar platforms.

Ability to configure call flows, design conversational scripts, and integrate logic that mimics a well-trained dental front desk receptionist.

Experience connecting voice agents to Google Calendar, Acuity, or dental PMS systems is highly preferred.

Understanding of HIPAA-compliant best practices for data storage and patient communication.

Ability to train the agent with custom prompts and FAQs specific to each dental practice.

Ability to provide testing and debugging support, and ideally build a scalable structure that can support multiple practices.

⚙️ Tech Stack / Tools We’re Open To:
Vapi.ai

Retell AI

Whisper / GPT APIs

Zapier or Make (for integration)

Twilio (optional, based on routing)

📈 Project Scope
We are starting with one dental practice, but the goal is to replicate this functionality for multiple practices. We are looking for a long-term partner who can help refine and scale this solution with us.

🧪 Next Steps
If you're interested, please respond with:

Relevant past experience with Vapi, Retell, or similar platforms.

Estimated timeline and budget for setting up a basic proof-of-concept.

Questions or concerns about the project scope.

Skills: Zapier, Make.com, CRM Automation, Transferring Phone Calls, Twilio, Cold Calling, AI Chatbot, Outbound Call, Appointment Scheduling, AI Bot, AI Agent Development, Chatbot, Automation, HTTP, n8n

Description:

I’m looking for an experienced Zapier automation expert who can help build a simple system to assist with customer support emails using Zaoier + ChatGPT or OpenAI (or an easier route if its possbile).

Project Overview:

- The goal is to automatically generate email draft responses in Gmail when a customer support email comes in
- Responses should be based on previous email replies (from the past year), website content, and possibly an FAQ document
- Drafts should be saved in Gmail, not sent automatically, so we can review them before sending

Why This Should Be Straightforward:

We only deal with about 10-15 common customer support issues. Examples include:
- Where is my order?
- I want a refund
- Cancel my order
- Cancel my subscription
- I received the wrong item
- I want to change my address
- General product questions (answerable using content from our website)
-etc

What You'll Need To Figure Out:

- The best way to access or download the past year of Gmail customer support emails
- This may require manually downloading several hundred threads
- How to train ChatGPT (or a custom GPT) to understand and replicate how our human support team responds (if GPT is the best fit)
- How to connect this trained model to Zapier so it can generate draft replies

Additional Requests:

- I would like the ability to continue training or improving the model over time
- One possible solution could be creating a custom GPT and giving Zapier access to it
- The biggest challenge for me is just getting the email data out of Gmail and into a usable format for training

Requirements:

- Experience with Zapier, Gmail integrations, and OpenAI (ChatGPT or GPT-4)
- Ability to create reliable, bug-free automations
- Understanding of how to match the tone and quality of human customer support responses
- Experience with eCommerce or Amazon brands is a plus

This is not a large or complex project, but it does require attention to detail and high-quality work.

Please include examples of similar projects you’ve completed.

Skills: Zapier, Automation, AI Agent Development, AI Chatbot, AI Bot

I need a Website for my Legal Services Business

I need a clean, modern site that lets users:
• Buy services & digital downloads
• Book calls via Calendly
• Take a quiz to get service recommendations
• Checkout via Stripe or PayPal
• Use a chatbot for FAQs (optional)

Open to any website builder.

Send me:
1. A quick message (no AI copy-paste, please)
2. 2–3 similar sites you’ve built or whatever you think would be comparable.
3. Preferred platform + why
4. Timeline and budget estimate

Skills: AI Bot, Website Redesign, JavaScript, HTML, Web Design

Opportunity Overview
We are addressing the critical gap left by ineffective browser and operating system notifications, which result in poor user experiences and reduced engagement. Our centralized, AI-enhanced notification management platform is specifically designed to dramatically enhance the notification experience for SaaS and enterprise software users. Sitting atop existing notification services like Firebase Cloud Messaging (FCM) and AWS SNS, our platform delivers intelligent, optimized, and seamless notifications across desktop, mobile, and web.
Unique Value Proposition
• Superior Notification Experience: Replace ineffective browser and OS notifications with unified, intelligent, user-friendly alerts.
• Unified Notification Management: Single API to manage notifications across all devices and platforms effortlessly.
• AI Optimization: Intelligent scheduling, prioritization, and filtering based on real-time user behaviour, reducing notification overload.
• Cross-Device Notification App: Electron desktop app (Windows/macOS) and future mobile apps, providing end-users unparalleled control and an exceptional notification experience.
Developer Specification for Proof-of-Concept (POC)
To demonstrate feasibility, we will build a Proof-of-Concept focusing on the core technical components: the desktop client, the backend service (with basic AI logic), and integration with push services (FCM/SNS).
Architecture Overview
Our POC architecture will have three main parts:
1. Electron Desktop Client (Windows & macOS): Acts as a unified notification inbox for the end-user.
2. Backend Service & API (Cloud-hosted): Receives notification requests from client applications (our B2B customers), processes them (including any scheduling/filtering logic), and routes them to the appropriate channels (including our desktop client, mobile pushes, etc.).
3. Integration Modules: Connectors for external push networks like Firebase Cloud Messaging and AWS SNS (and by extension APNs for iOS, etc.), plus a simple web dashboard for analytics.
Below is a breakdown of each:
Electron Desktop Client:
We will use Electron to create a cross-platform desktop app in JavaScript/HTML. The client’s primary role is to receive and display notifications to the user in real-time and allow the user to manage preferences. Key functionalities:
• System Tray & Native Notifications: The app will run in the background (tray app on Windows, menu bar on macOS). When a new notification arrives, it will trigger a native OS notification (using Electron’s Notification API) so the user sees a toast banner (Notifications | Electron). Clicking it opens our app’s inbox.
• Unified Inbox UI: A window listing all recent notifications from various sources (with app name, icon, message, time). The user can perform actions: mark as read, snooze (delay a notification), or set preferences (e.g. “mute all from [App] for 1 hour”).
• Subscription & Auth: For POC, we’ll implement a simple account system. The user logs into the desktop app (could be just an email PIN or OAuth in later versions). This links their devices to a unified identity. The app registers itself with our backend (e.g. obtaining a token).
• Real-time Updates: The desktop client maintains a persistent connection to the backend (likely via WebSocket or using a library). This ensures new notifications are pushed to the client instantly. Alternatively, we will integrate electron-push-receiver which allows the Electron app to directly receive FCM push messages (How to: Enable Electron push notifications with FCM | by Mauricio Hernández | Medium). For the POC, using Web Sockets (or even periodic polling) might be simpler to implement and demonstrate end-to-end flow.
Backend Service & API (Cloud-hosted)
The cloud backend (a Node.js/Express or Python/FastAPI app) will expose RESTful APIs (and/or WebSocket endpoints) for:
• Submitting Notifications: e.g. POST /api/notify where a client app (our B2B customer's server) calls with a payload: [user_id, title, message, priority, channels,…]. For POC, this could also be triggered via a test interface. The backend will authenticate the request (API key or token).
• Subscription Management: End-user devices (desktop app, or later mobile app) will register via something like POST /api/registerDevice with their user_id and device details (e.g. a FCM token for their phone, or an identifier for the desktop client’s connection). The backend stores these in a database (to know where to route notifications).
• Notification Routing Logic: Upon receiving a new notification request, the backend looks up all devices for the target user and determines how to deliver. For example, if user has the desktop app online, and also a mobile device, the service might deliver to both or apply a rule (like “if active on desktop, suppress mobile” to avoid duplication). AI scheduling in the POC will be rudimentary – perhaps a toggle for “smart deliver” that if enabled, queues the notification and uses a simple rule (e.g. deliver during the user’s local daytime or after a cooldown if many notifications arrived recently). We might implement a placeholder ML model later (for now, rules suffice to demo the concept).
• Integration Connectors: The backend will interface with external push services for delivery:

o For desktop, as mentioned, likely via WebSocket to connected Electron clients (so no external service needed for that).
o For mobile devices: use Firebase Cloud Messaging (FCM) for Android and iOS (FCM can actually send to iOS APNs as well). The backend will use the Firebase Admin SDK to send messages to the device tokens it has stored. Similarly, for any devices registered via Apple or web, we use their push network. (In a full product we’d have to manage APNs certificates, etc., but POC can lean on FCM which abstracts APNs).
o Optionally, AWS SNS: If some clients prefer or already use SNS topics, our backend can subscribe or publish to SNS. For POC, we might demonstrate sending an SNS message (though SNS overlaps with FCM functionality). Another AWS service, Amazon Pinpoint, could be noted for SMS/email, but that’s beyond initial scope.

• Data Store: A simple database (e.g. PostgreSQL or MongoDB) to store user profiles, device registrations, and log notifications (for analytics). We’ll also have a table for notification preferences (e.g. user X wants only high-priority notifications at night).

• Analytics Dashboard (Minimal POC): We will include a very basic web interface (could even be part of the backend web app) for developers to see their notification stats. For POC, this might just show:
o List of notifications sent, delivered, and whether opened (if we track opens via the desktop app when user clicks).
o Maybe aggregate counts (delivered vs read rates). This will prove out the value of insights. We’ll instrument the desktop app to send an “opened” event when user interacts, and the backend can tally these.

• AI Module (Basic): To keep POC manageable, full AI/ML integration (like a trained model for optimal send times) might be simulated with simple logic:
o We can implement a rule-based priority queue: e.g. if a notification is marked “low priority” by the developer, the backend will not send it immediately between 9pm-7am, but instead queue it and deliver at 8am. Or group low-priority messages and send one summary after an hour if multiple came.
o Possibly use a public library or service for NLP to categorize notifications (if we want to show filtering by content). For example, tag if a notification seems promotional vs personal.
o These simple algorithms can later be replaced by machine learning (using user behavior data to learn optimal times, etc.), but even a heuristic demo will illustrate the feature (we can show two notifications sent at 2am – one marked normal that wakes the device immediately, another marked “AI scheduled” which the user receives at 7am).

• Security & Privacy Considerations: In the POC, we’ll incorporate basic encryption (HTTPS for all API calls, store minimal personal data). Authentication between the desktop app and backend will use tokens. Though a full product would need robust encryption for notification content (especially if sensitive), for POC we assume non-sensitive demo data.

Technical Feasibility Notes
• Electron Feasibility: Electron is capable of displaying native notifications on Win/Mac easily (Notifications | Electron). Receiving push in Electron is doable via community libraries (e.g. electron-push-receiver to integrate FCM in the app) (How to: Enable Electron push notifications with FCM | by Mauricio Hernández | Medium). We will leverage these to avoid writing low-level code. This ensures our desktop client can indeed get real-time pushes like a mobile app would.
• Cross-Platform: By using web technologies in Electron, the same codebase works on Windows and macOS. We’ll test on both. (Linux support can be considered, but for enterprise focus Win/Mac are priority).
• Scalability (for POC): We’ll run the backend on a simple cloud instance or Heroku. Node.js can handle the small scale of a POC easily. If we simulate scale, we might use a message queue for queued notifications (e.g. Redis or a simple in-memory queue).
• Integration with FCM/SNS: We’ll set up a Firebase project for the POC to handle mobile device messages. Also, an AWS account to use SNS if needed (though for POC, FCM suffices to reach a test mobile app).
• Mobile App (Optional POC extension): If time permits, we can also whip up a very basic mobile client (Android) that registers to our backend and shows notifications (this could simply rely on Android’s system notification when FCM message arrives, demonstrating cross-device). However, a full mobile app might be out of scope for initial POC – we can simulate it by showing FCM delivering to an Android test device.
POC Success Criteria
By the end of the POC development, we should be able to demonstrate the following scenario:
1. A test application (could be a script or a demo website) calls our API to send a notification to a user.
2. Our backend receives it, logs it, applies a scheduling rule (if any), then delivers:
o Immediately show it in the user’s Electron desktop app (and trigger OS notification).
o Send it to the user’s mobile (we can have a test phone with our generic FCM-listener app to confirm receipt).
3. The user clicks the notification on desktop, which marks it as read. The mobile device notification gets removed (showing sync – this might be simulated in POC by designing that if desktop app reports “opened”, we issue a silent push to dismiss on mobile).
4. The developer (us, in demo) checks the analytics dashboard and sees that the notification was delivered and opened by the user (e.g. 1 delivered, 1 opened = 100% open rate for that message).
5. We also demonstrate a “scheduled delivery”: a second notification marked low-priority is sent at 5pm, but our system withholds it and it only appears at, say, 8am next morning (we can simulate time or just manually trigger later to mimic scheduling).

If we can show this end-to-end flow with a couple of example rules, it will validate the core technical integration. It will also serve as the foundation to build a production-ready system after incorporating feedback.
(In summary, the POC spec focuses on delivering a working desktop notification client and a cloud backend that together prove our value prop: unified routing (via FCM/SNS) and smart handling of notifications. We intentionally keep some features minimal (AI as simple rules, mobile app optional) to hit the main goal of proving technical viability and allowing early user testing.)


Visual Style and UI Recommendations
Delivering a modern, clean user experience is crucial for both our developer-facing dashboard and the end-user client. Here we outline the visual and UX approach for each component:
End-User Desktop/Mobile Client UI
Our notification client should feel like a natural extension of the OS, yet offer a richer experience when opened. Key design principles:
• Native Look & Feel: When notifications pop up, we use the native notification banners of each OS for familiarity. The app’s icon and notification style will match platform guidelines (e.g. use the Windows notification toast style and macOS Notification Center style). This ensures users trust and recognize the alerts as coming from a legitimate source (not some odd-looking popup).
• Minimalist Inbox Design: The main window of our client will have a minimalist, uncluttered design. Think of it as an email inbox but for notifications – each notification listed with maybe an app icon, title, short message, time, and an indicator if it’s new. We’ll use material design cues (cards, shadows) or fluent design elements subtly, but overall keep it simple. Too much fancy design could distract; users will scan this list quickly.
• Priority Highlights: We can incorporate subtle AI touches in UI: for example, high-priority notifications might be highlighted or pinned to top. Less important ones might be grouped (like “5 updates from Twitter” collapsed). Visual grouping and clear typography will help the user digest information efficiently.
• Dark and Light Modes: Following modern trends, the client should support dark mode and light mode out of the box, respecting the user’s OS setting. Many users prefer dark mode especially for an app that may sit open on their desktop.
• Gestures & Shortcuts: On mobile (future) we’ll allow typical swipe actions (swipe to snooze or delete a notification), and on desktop maybe keyboard shortcuts (e.g. Del to dismiss, enter to open the linked app or detail).
• Customization: While not a priority for MVP, we should allow users some personalization – e.g. choosing a different sound for certain notifications, or color-coding notifications by app. Visually, this means our design should accommodate small accents (like app-specific icon or color in the notification list item).
In terms of style inspiration, we can look at Apple’s iOS 15+ Notification Summary aesthetic (clean stacks of notifications), or Android’s notification drawer grouping. Also apps like Spark email or Slack (which groups notifications by channel) for ideas on grouping. But importantly, our design must avoid overwhelming the user – lots of whitespace, clear separation of time slots (maybe a divider “Earlier Today”, “Yesterday” if we show history), and concise text display.
Developer Dashboard UI
The web dashboard for developers (and product managers) should follow modern SaaS design conventions:
• Clean, Data-Focused Layout: A dashboard landing page might show key metrics in large font: e.g. “Notifications sent today: 1,024”, “Open rate: 45%”. We’ll use data visualization (charts, graphs) to make analytics immediately understandable. For example, a line chart of daily notifications sent vs opened, or a funnel chart of delivery - open - action.
• Navigation and Organization: Use a sidebar or top navigation bar with clear sections: e.g. Dashboard, Notifications Log, Segments/Users, Settings, etc. Icons plus labels for clarity. Many SaaS products use this familiar layout, making it easy for users to find things.
• Modern Design Trends: We can incorporate flat design and semi-rounded components (modern, friendly feel akin to Google’s Material Design 3 or the latest Fluent UI by Microsoft). Also ensure it’s mobile-responsive (in case a dev checks stats on their phone).
• Theming: Our brand should evoke the idea of connectivity and intelligence. Visually, this might be a color scheme of blues or purples (often associated with tech and AI), with a contrasting accent (for example, blue and an orange accent for interactive elements). Use a consistent font (a clean sans-serif for readability). We should also include our logo on the dashboard – likely something like a bell or radar symbol to denote notifications, combined with an AI twist (maybe an embedded sparkle or network node motif).
• Contextual Help: Because our system has some complexity (AI settings, scheduling rules), incorporate UI cues like info tooltips (an “ℹ️” icon that explains a feature on hover) and a clear onboarding tour for new users. This improves UX by guiding users rather than leaving them confused by new concepts.
Platform-Specific Considerations
• Windows: Ensure the Electron app uses the correct Windows 10/11 Fluent style for notifications (Microsoft provides adaptive toast templates). On the dashboard web UI if accessed via Edge, all features should work in Edge as well as Chrome.
• macOS: Use SF Symbols or macOS-native iconography where possible for the Mac build. Possibly integrate a menu bar mini-icon that when clicked shows a quick dropdown of latest notifications (common in Mac apps like Dropbox, etc.). Follow Apple’s Human Interface Guidelines for spacing and text (macOS users expect a certain polish – e.g. proper use of system fonts like San Francisco font).
• Mobile (future): If/when we build a mobile app, we’ll follow the respective Material Design (Android) and Apple HIG (iOS) for the app’s UI, so it feels native. Even though our design language is consistent, we might adapt the style slightly (for example, on iOS use iOS-style toggles and navigation bars, on Android use Material You components). The goal is a uniform brand identity but respect for platform norms.
Visual Examples and Trends
To ensure our design is cutting-edge, we note a few trends in 2025:
• AI-assisted UI: Some apps now adjust UI or content based on AI. We could, for example, have a subtle indicator like “Suggested by AI” on a notification that was delayed or promoted by the AI – transparency can build user trust in the system’s decisions.
• Micro-interactions: Little animations when a user toggles a setting or an icon when a notification is snoozed (maybe a small clock icon appears) can provide feedback. Use these sparingly to keep the interface lightweight but not static.
• Accessibility & Clarity: Use sufficient colour contrast for text (to meet a11y standards) and allow font size adjustments. Our service will be used by potentially a wide range of users (especially if B2C), so it must be accessible.
We will likely create a design style guide with components (buttons, lists, modals) so that both the client app and the web dashboard share a consistent look. Using a UI library or design system (like Material UI for React on the web, and perhaps a component library for Electron like Ant Design or Fluent UI) can accelerate development while ensuring consistency.
In summary, the UI will be modern, user-friendly, and purpose-driven: simple where it needs to be (so notifications are quick to read), and detailed where it adds value (rich analytics visualizations for admins). By aligning with contemporary design trends and
platform guidelines, we provide an intuitive experience that enhances our product’s appeal.

Skills: AI Agent Development, AI App Development, AI Bot, AI Development, AI Implementation, AI Model Development, AI Model Training, AI Model Training Prompt, Python, JavaScript

i am looking to build out my own clone or version of leadbook, reachowl, or similar FB dm bot

Skills: Web Application, AI App Development, AI Bot, HTML, PHP, Java, Web Development, API, Web Design

I need to create an automated workflow for integration with a voice agent to integrate with Twillio and Zoho Crm.

Skills: ChatGPT, Zapier, Chatbot Integration, AI Chatbot, Automated Workflow, Generative AI, AI Bot, API, GPT-3, GPT-4, OpenAI API, Automation, Chatbot Development, GPT Chatbot, WordPress Website

Description:
We are looking for an experienced developer or AI specialist to create a cold calling voice bot that will initiate phone calls, engage in conversations, and set appointments with potential clients. The bot should be trained to understand our specific offerings and schedule meetings in a calendar system (Google Calendar, etc.) for our sales team.

The ideal candidate will have experience with AI-driven voice bots, natural language processing (NLP), and speech-to-text and text-to-speech technologies. You will need to integrate this bot with a VoIP service (e.g., Twilio, Vapi.ai) and ensure it can seamlessly handle cold calling, conversation flow, and appointment booking.

Key Responsibilities:
Develop and implement a cold calling AI voice bot using platforms like Vapi.ai, Twilio, or other VoIP solutions.

Train the AI bot with specific information about our products and services, using provided materials.

Integrate the AI bot with a calendar system (e.g., Google Calendar, Calendly) for scheduling appointments.

Implement NLP (natural language processing) for smooth, human-like conversations.

Test and optimize the bot’s conversation flow to ensure it handles common objections and sets meetings effectively.

Monitor and improve the bot’s performance based on feedback and real-world usage.

Required Skills:
Experience with AI voice bots (e.g., Vapi.ai, Twilio, Dialogflow).

Knowledge of natural language processing (NLP) and speech-to-text technologies.

Familiarity with integrating AI bots with calendars and CRM systems.

Experience in voice-based automation and cold calling processes.

Ability to train AI models based on specific input and provide ongoing optimization.

Project Details:
Platform to use: Vapi.ai, Twilio, or a similar VoIP solution (Open to suggestions).

Training data: We will provide the AI with our existing sales materials, scripts, and any necessary documents to train the bot.

Appointment Scheduling: Integration with Google Calendar or an equivalent system for seamless meeting booking.

Ongoing Optimization: We expect ongoing support to improve the bot’s performance as needed.

Why This Job Is a Great Opportunity:
You will be working on a highly innovative and impactful project.

Opportunity to collaborate with a dynamic team and use cutting-edge AI technologies.

Flexibility in project scope and timeline, based on your expertise.

Budget:
Please provide your rate and an estimated time frame for completion.

Additional Requirement:
Please provide samples of previous work or similar projects you have completed, especially if you have experience in building AI voice bots or appointment scheduling solutions.

Qualifications:
Proven experience in building AI voice bots or similar voice automation projects.

Familiarity with Make.com and other automation platforms (a plus).

Strong understanding of API integrations and AI training.

Ability to work independently and communicate effectively.

Skills: Communications, Twilio, AI Agent Development

Title: Seeking AI Voice Call Agent Developer for Long-Term Collaboration

Description:
We are a 3D visualization studio serving clients in architecture, real estate, and interior design. Many of these businesses also need AI-powered voice agents for tasks like:

Customer support (answering FAQs, project status updates)

Lead qualification (filtering inquiries before human handoff)

Appointment scheduling (seamless calendar booking)

24/7 call handling (after-hours inquiries)

We’re looking for an AI developer/team to create free or discounted proof-of-concept demos that we can pitch to our clients. If successful, this will turn into ongoing paid projects for both parties.

Example Use Case:
Imagine an architecture firm that wants an AI agent to:

Answer calls from potential clients asking about services.

Collect key details (budget, timeline, project type).

Book consultations directly into their CRM.

Sound natural (no robotic voices).

What We Need:
✔ A working demo (e.g., Twilio, Voiceflow, custom solution).
✔ Customizable for different business types (real estate, design, etc.).
✔ Professional, human-like voice options.
✔ Free or low-cost sample (we’ll handle client acquisition).

Ideal Partner:
Experience building AI voice agents or call-center automation.

Willing to invest time in 1-2 sample demos (we’ll bring the clients).

Can scale quickly if pilots succeed.

This is a revenue-sharing opportunity—successful demos lead to long-term contracts. If you can provide a proof-of-concept, let’s talk!

Interested? Share:

Examples of past voice AI projects.

Your tech stack (e.g., NLP, integrations).

Willingness to provide a sample demo (free or at cost).

Let’s build something valuable together!

Skills: Make.com, AI Agent Development, AI Bot, n8n

Required Skills/Experience:
-Deep AI expertise building and scaling AI native applications and models
-Thought leadership in platform development, architecture, and scaling.
-Experience in leading high-performing engineering teams.
-Deep understanding of cloud computing, microservices, and API design.
-Experience with real-time communication technologies (video conferencing, chat, messaging).
-Knowledge of data management, analytics, and reporting.
-Experience with user authentication, authorization, and security best practices.
-Strong communication, collaboration, and influencing skills.
-Experience with Agile methodologies.
-BS in Computer Science or related field (or equivalent experience).
-15+ years of software product development experience, with 3+ years in a senior leadership role.

Key Focus on User and Expert Experience:
-Deep understanding of user experience (UX) and user interface (UI) principles.
-Focus on building intuitive and engaging interfaces for both customers and experts.
-Commitment to accessibility and inclusivity.
-Domain experience in Customer Success, Sales and Services preferred

AI Considerations:
-Knowledge of AI/ML applications in areas like matching users with experts, content moderation, or personalized recommendations.
-Understanding of responsible AI principles.

Skills: AI Bot, Artificial Intelligence

I need help in developing a chatchot using llm like llama, openai or gemeni.

Skills: Python, Flask, AI Bot, AI App Development, Chatbot Development

We have a software that applies to jobs for users and we are currently using scrapers, bots, and an Open AI api to apply for the jobs. We are having several issues when it come to passing the captcha, cloud flare, and proxy solutions to properly apply to the jobs without being blocked. We have an automation in place that creates the email, username, and password for each user. We now need a developer that specializes in AI agents to build out an AI agent that can create accounts with the system generated username and passwords we make then apply for the proper jobs based on the logic wee give for the job criteria on LinkedIn, GlassDoor, SnagaJob, Monster, along with a few other job boards. We need some one asap that can provide case studies and expertise in creating effective AI agents that are not blocked from ding tasks such as account creation and filling in fields on a web form. We also need a developer that is extremely advanced In proxy systems also. DO NOT paste any copy and paste cover letters please read this entire listing. This is a listing to permanently hire and grow the product this is our biggest blocker and we need to scale beyond it.

Skills: AI Bot, AI Agent Development, AI Development, AI Model Training Prompt, AI Model Training, Data Science, AI Implementation, AI Instruction, AIOps, AI App Development, Model Deployment, Deep Learning, Python, Artificial Intelligence, SaaS, React, API, Amazon Web Services, Product Management, Web Proxy

I need someone that can take this from an idea to a live prototype that we can use to drive sales and onboard our first few clients, once we gain momentum there is a chance for more work.

An AI-powered virtual assistant tailored for real estate agents, enabling automated, omnichannel client engagement to qualify leads, answer inquiries, book appointments, nurture prospects, and seamlessly hand off to live agents.

Skills: OpenAI API, Python, JavaScript, Chatbot Development, Bot Development, Next.js, Vonage, Supabase, Design Mockup, Design Thinking

We are seeking a skilled developer to create a Botpress AI agent that seamlessly integrates with our custom CRM system, Square Appointments. The bot should handle booking, rescheduling, and canceling appointments efficiently. The ideal candidate will have experience in AI development, particularly with Botpress, and possess strong knowledge of CRM integration. If you are passionate about automation and enhancing customer experience through AI, we would love to hear from you!

Skills: API, JavaScript, Python, API Integration, Chatbot Development

We are seeking a dedicated and results-driven virtual assistant who specializes in Go High Level (GHL) and all the features this massive platform provides. We need a seasoned Go High-Level virtual assistant who excels in leveraging the full potential of this powerful platform.

HERE IS WHAT WE ARE LOOKING FOR: MUST HAVES:
1. A VA with a passion for efficiency and a sharp eye for detail to bring a wealth of experience in automation, funnels, landing pages, triggers, Ai bot training, Ai bot for appointment setter setup, Membership, and Affiliate Management in GHL, and GHL websites.

2. Automations Pro who knows what to do to generate sales. Must know automation is the key to streamlining processes and saving time.

3. A proven track record of creating seamless automated systems that enhance productivity and allow management to focus on what matters most – the metrics. Must be able to split test multiple pages for highest conversion. Must meet weekly to discuss highest performing metrics.

4. Funnels that convert without spending months doing research. We need you to start ASAP crafting effective sales funnels as an art, designing funnels that not only capture attention but also drive conversions.

5. A Landing Page Master, creating visually appealing and high-converting landing pages that leave a lasting impact and convert like crazy.

6. A Master at building sales funnels and lead generation funnels, tailored to suit our unique business needs.

We have many pages in the funnel already built, but we need help setting up campaigns to optimize workflows and optimizing email marketing campaigns to get the most out of GHL.

We need you to be a GHL Websites Wizard who understands how to work independently and effectively. Please just don't build websites; create an online experience for our end user that results in more leads and higher sales.

We are seeking a Rock Star to build our GHL website that not only looks fantastic but also functions seamlessly, and converts effortlessly.

So we know you read until the end of this post, please use the words GHL Rock Star in your proposal.

Skills: CRM Automation, Email Automation, Campaign Management, Lead Generation, Marketing Strategy, Sales, Relationship Management, Marketing Automation, Content Writing

We are seeking an experienced AI professional with a strong proficiency in Claude 3.7 by Anthropic. The ideal candidate will have a deep understanding of this advanced AI model and how to effectively implement it in various projects. Responsibilities include developing AI solutions, optimizing performance, and collaborating with our team to enhance AI-driven processes. If you have a proven track record in AI applications and a passion for innovation, we would love to hear from you!

Skills: AI Bot, Chatbot, Python, Adobe Illustrator, Artificial Intelligence, Machine Learning, Graphic Design, Adobe Photoshop

User Accounts
• Users can sign up, log in, and view their submitted entries
2. Word Submission
• Logged-in users can submit slang words/phrases with a definition, example, region, and mood
• Submissions are saved as pending until approved by admin
3. Admin Moderation
• Admin can approve, reject, or edit submissions
• Option to assign moderator roles
4. Email Notifications
• Users receive an email when their submission is approved or rejected (with link or message)
5. Public Dictionary Page
• Searchable/browsable list of words
• Each word shows one or more definitions (submitted by different users)
• Definitions include region, mood, example, and user name
6. Definition Rating System
• Users can rate each definition from 0–10
• Highest-rated definitions appear first under each word
• Users can only rate once per definition
7. RTL Support (Arabic)
• Site must support right-to-left layout, Arabic fonts, and mobile responsiveness
8. Admin-Friendly
• I must be able to manage everything from the WordPress dashboard
• Site should be easy to update using Elementor or similar
9. Future Phase (Merch Store)
• The site should allow adding a merch page later with payment and delivery options

Skills: Retrieval Augmented Generation, AI Agent Development, AI Chatbot, ChatGPT API Integration, LangChain, AI Bot, Python, Web Application, Next.js, Tailwind CSS, React, Node.js, JavaScript, Full-Stack Development, Firebase Cloud Firestore

An online art gallery that can showcase artwork in three different virtual settings ( static walls in different rooms) and in three different frames automatically ( modern white, classical wood and minimalist black). Clients/ interior designers can also download a 3d file of the artwork to use in their 3d design work.
Artist can upload their artwork with a high resolution photo and the website will automatically configure the artwork to fit the virtual walls and frames as chosen and also automatically created the 3d render of the artwork. The website should utilize AI to automate the process. Will also need to have a logo for the website.

Skills: JavaScript, Web Development, PHP, WordPress, Web Design, SEO Setup & Configuration, AI Agent Development, AI Bot, Graphic Design, HTML

website automation - AI-Driven Scheduling and Posting for ads by business and brands, Canva Integration for Content Design, Pre-Made Content Templates, Simple Content Calendar, Educational Resources, Social Media Analytics Dashboard, AI-Assisted Customer Profiling, FAQ and Troubleshooting Guide, Community Forum, Regular Webinars or Live Q&A Sessions, Newsletter with Tips and Updates, integration of my shopify store, and a page to spotlight small businesses and brands with a section on the page for the small business or brand to leave to leave video or commercial. my business is - ad creation, social media posting, small business counseling on effective marketing, flyer creation, logo creation. we want to help the growth of small businesses and brands get the exposure they need without paying an outrageous fee. I need a way to automate my services, its getting exhausting.

Skills: Python, AI Development, AI Bot, Data Entry, Artificial Intelligence, Make.com, Automation, API, AI Builder, n8n, Python Script, Google Sheets, ChatGPT API, Browser Automation

Descripción del Puesto:
Estamos buscando un/a Desarrollador/a de Agentes de ia altamente competente y con experiencia en automatización para unirse a nuestro equipo en la agencia elevia. Tu rol será clave en la implementación, desarrollo y optimización de agentes de IA, integración de herramientas de automatización y gestión de plataformas conectadas mediante APIs, para ayudar a nuestros clientes a mejorar sus procesos y eficiencia mediante el uso de inteligencia artificial.

Responsabilidades:

Desarrollar y gestionar agentes de IA utilizando herramientas como Make, N8N, Zapier, etc.

Automatización de procesos entre diversas plataformas y herramientas de IA.

Integración de sistemas como Go High Level, Shopify, WhatsA.... , CRM y otras plataformas a través de APIs.

Desarrollo de soluciones personalizadas según las necesidades de los clientes, adaptando las herramientas y tecnologías más apropiadas.

Mantenimiento y optimización de los sistemas automatizados para asegurar su efectividad y funcionamiento continuo.

Colaboración directa con clientes para entender sus necesidades y ofrecer soluciones de automatización personalizadas.

Implementar flujos de trabajo automáticos en herramientas de mensajería como WhatsA... correos electrónicos, y otras plataformas integradas.

Reuniones periódicas con los clientes para garantizar que las soluciones entregadas estén alineadas con sus expectativas y requerimientos.

Requisitos:

Mínimo 1 año de experiencia trabajando en desarrollo de agentes de IA, automatización y programación de APIs.

Experiencia práctica con Go High Level (plataforma principal para CRM y automatización de ventas).

Conocimiento profundo de herramientas de automatización como Make, N8N, Zapier y otras similares.

Experiencia en integración de Shopify y otras plataformas de e-commerce con sistemas de automatización.

Conocimientos avanzados en APIs, integración de sistemas y programación de flujos automatizados.

Capacidad para trabajar de forma autónoma y cumplir con plazos sin necesidad de horario fijo (trabajo 100% flexible).

Habilidades de comunicación claras y capacidad para colaborar con clientes para resolver problemas y ofrecer soluciones personalizadas.

Compromiso con la calidad del trabajo y el cumplimiento de plazos establecidos.

Lo que ofrecemos:

Trabajo remoto, con libertad para gestionar tu propio horario.

Un ambiente dinámico en crecimiento, donde podrás aplicar tus habilidades y tener un impacto directo en el éxito de nuestros clientes.

Posibilidad de bonos por proyectos entregados con éxito.

Oportunidades de crecimiento dentro de la empresa, incluyendo la posibilidad de un salario más alto si el rendimiento es destacado.

Flexibilidad total en el horario de trabajo, siempre y cuando las tareas se entreguen puntualmente. Las reuniones con clientes se realizarán dentro del horario laboral estándar.

Proceso de Selección:

Primer mes de prueba: $800 usd, con la posibilidad de aumentar a $1,000 usd si demuestras un rendimiento excepcional. En resumen, el salario mensual seria de $1,000 USD

Bonos adicionales por proyectos completados con éxito (más detalles se compartirán durante la entrevista).

Si eres seleccionado, deberás cumplir con tareas dentro de los plazos acordados, y tendrás la oportunidad de trabajar con tecnologías de punta.

Cómo postularte:
Si cumples con los requisitos y estás listo para unirte a un equipo innovador, envíanos tu postulación con los siguientes documentos:

CV actualizado (Opcional)

Portafolio de trabajos previos (proyectos relacionados con IA, automatización, Go High Level, Shopify, etc.) - requisito principal

descripción de tu experiencia en proyectos similares, incluyendo herramientas utilizadas y resultados alcanzados.

¡Es una vacante de inmediata integración! Si tu presentación y portafolio cumplen con lo que buscamos, tendrás la entrevista de manera inmediata y, si eres el candidato ideal, contratación inmediata. ¡No pierdas esta oportunidad de unirte a un equipo en crecimiento y trabajar con tecnologías de punta!

Skills: AI Agent Development, AI Bot, AI Model Integration, AI-Generated Code, API Development, AI App Development, Shopify, Web Development, API

Description: Seeking an AI bot developer to automate customer service, scheduling, and lead generation for a home service business. Must have NLP and Python/JavaScript experience. Provide project samples.

Skills: Python, Machine Learning, Natural Language Processing, Deep Learning, Artificial Intelligence, JavaScript, Prompt Engineering, Web Development, ChatGPT, Data Analysis, Generative AI, LLM Prompt Engineering, LLM Prompt, AI Chatbot, AI Consulting