Vollna AI Bot for Upwork Projects

Hey! I would currently like to write a somewhat more complex automation in n8n. I think I could use your help with this.

The following process should take place:

It should answer multiple choice questions based on provided PDF documents.

Using OBS Studio and a stream running there (stream of a camera pointing at a screen), a screenshot or image is to be created using a defined button and sent to n8n (probably using HTTP/webhook). This screenshot (presumably OCR, possibly Tesseract) must then be recognized there and the question and the answer options must be recognized and read out. Now n8n or an AI bot should access the documents provided and recognize the correct answers to the question and then output them to Teleg-ram via chat so that the correct answers can be easily recognized.

It can happen that several questions can be recognized on the screenshot/image - in this case, both questions should of course be answered. Like this, for example:

Question 1
X Answer a
X Answer b
X Answer c
O Answer d

Question 2
O Answer a
X Answer b
O Answer c
X Answer d


Can you help with this?

Skills: OCR Algorithm, Tesseract OCR, Automation

We are a Salesforce implementation partner looking to build an AI-powered video interview system to automate candidate screening. The platform should conduct asynchronous video interviews where a bot presents questions (fixed and dynamic), captures video responses, analyzes them using LLM-based scoring, and pushes the evaluation into Salesforce.

This is a modular project, and we’re open to agencies or experienced freelancers with strong capabilities in video tech, AI/LLMs, and CRM integrations.

Skills: AI Agent Development, AI Bot, Automatic Speech Recognition, Face Detection, Python, Artificial Intelligence, Machine Learning, Deep Learning

We have a full AI bot Python code on Replit, and it works when we click "Run," but it doesn't work properly when we want to deploy it on a Reserved VM. We need help with deploying our bot on a Reserved VM without any errors.

Current errors
- The application opens port 5000 but doesn't open port 8080 which is mapped to external port 80
- The Autoscale deployment requires the app to open a port mapped to external port 80
- The Flask app is running in a background thread but needs to be the main process

Skills: AI Chatbot, Python, API, Chatbot Development, Bot Development, Replit

🧾 Job Title:
Solana-Based Trading Bot Developer (Pump.fun Automation)
📄 Job Description:
We’re hiring a blockchain developer to build an automated trading bot tailored for Pump.fun on the Solana network.
The bot should automatically detect new token launches, evaluate risk, and execute trades using a pre-defined strategy.
🔧 Key Features:
Monitor for new token launches
Buy/Sell execution using the Solana network
Configurable profit target and stop-loss logic
Trailing stop-loss system
Support for rotating between multiple wallets
Logging system for executed trades
Notification system for activity updates
Docker support for deployment
Backtesting support with CSV input
💻 Preferred Tech Stack:
Python
Solana SDK
Local database (e.g., SQLite)
Docker
🧠 Ideal Developer Has:
Experience with Solana RPC interactions
Experience automating buy/sell logic for crypto
Solid understanding of risk management in trading systems
Ability to work independently and deliver clean, modular code
⏱ Timeline:
Looking to get this delivered within 1 to 3 weeks
💰 Budget:
$500–$2,000 depending on experience and delivery time
✅ How to Apply:
When applying, please describe any relevant experience you have building trading bots or working with the Solana network.
Also include a short explanation of how you would approach this project.

Skills: Python, API, Bot Development, AI Agent Development, AI Bot

Job Title:
Full Stack Developer (Python or Similar) — Facebook Marketplace Bot Integration

Description:
We are seeking a skilled developer to help us integrate a Facebook Marketplace automation feature within our platform. The ideal candidate will have experience working with GitHub repositories and be capable of either cloning or building upon existing applications to:
• Develop a bot that automatically responds to Facebook Marketplace messages
• Upload and manage inventory to Facebook Marketplace automatically

We are open to solutions built in Python or other full stack environments — the priority is functionality, scalability, and seamless integration into our current system.

Key Responsibilities:
• Clone and customize GitHub applications (where applicable)
• Build, test, and deploy a Facebook Marketplace bot for messaging and inventory uploads
• Ensure compliance with Facebook’s policies and API guidelines
• Integrate the solution into our existing platform
• Document the process and provide basic user documentation for our internal team

Ideal Skills & Experience:
• Strong experience with Python or other relevant full stack frameworks
• Familiarity with Facebook Marketplace automation or similar bots
• Experience working with GitHub repositories and third-party application integrations
• Knowledge of Facebook APIs and data handling best practices
• Ability to communicate progress clearly and meet project deadlines

Project Type:
One-time project (potential for ongoing work)

Budget:
Open to proposals — please include your estimated timeline and total project cost.

If you have experience with similar automations or can show relevant projects, please share them with your application.

Skills: GitHub, AI Bot, Chatbot, ChatGPT API Integration, Python, API, JavaScript

We are seeking a talented AI bot builder with extensive experience in creating intelligent automation solutions. The ideal candidate will have a proven track record in developing chatbots and automating processes using AI technologies. You will work on innovative projects to enhance user interaction and streamline workflows. Strong problem-solving skills and creativity are essential to this role.

Skills: API Integration, Business Process Automation, Zapier, n8n, Make.com, Python, Automation, Chatbot Development, Bot Development, Data Scraping, Artificial Intelligence, Robotic Process Automation, ElevenLabs

We’re looking for an experienced Voiceflow developer to help us connect our AI agent directly to the OpenAI API using our own key, bypassing Voiceflow’s default LLM.

In addition, we need support integrating the agent with an external server that provides real-time booking availability from a fitness studio’s management software. The server is already set up and working correctly . Your job would be to connect it within Voiceflow and ensure the logic flows smoothly.

Background:
We had a working AI agent on Zappychat, but we’re now moving to Voiceflow due to better control over API usage and lower long-term costs. This transition is part of a larger strategy, and if this project is completed successfully, there is strong potential for long-term collaboration. We are building similar agents for multiple fitness businesses.

That’s why it’s important for us to work with someone who delivers high-quality work at a fair price, as there is a pipeline of future projects.

If you’ve worked with Voiceflow’s API, OpenAI integrations, and external server logic before, we’d love to hear from you. Please share relevant experience or examples.

Looking forward to working together!

Skills: OpenAI API, AI Agent Development, AI Chatbot, AI Bot

Flutter + Node.js Developer/Team Needed for Subscription-Based AI Mobile App

Description:
We’re building a mobile-first SaaS platform that allows users to create and manage AI-driven content, with monetization features and community tools built in.
The core of the product revolves around user-generated AI profiles, a subscription system, and performance tracking. The app will feature a clean, responsive design, real-time data feeds, and robust backend logic for user roles, purchases, and content visibility.
We are looking for a reliable, detail-oriented Flutter + Node.js developer (or team) who can build both the frontend and backend in a modular, scalable way.

Scope of Work:
Mobile app development using Flutter (iOS + Android)

Backend development using Node.js (NestJS or Express)

Database setup (PostgreSQL or Supabase)

Authentication (Firebase Auth or Auth0)

Payment system integration (Stripe Connect for split payouts)

AI integration via external API (e.g., OpenAI, HuggingFace)

Admin panel (web-based) for content moderation, user stats, and analytics

Community tools (groups, posts, image uploads)

Subscription system with user-specific monetized content

Custom analytics dashboard for performance tracking

Ideal Candidate/Team:
Demonstrated experience building SaaS platforms with subscriptions

Solid understanding of Flutter architecture and clean UI design

Experience integrating third-party APIs (AI, payment, real-time data)

Ability to handle user roles, usage limits, and upgrade flows

Strong database skills (relational schema, scalability, security)

Bonus: Experience with vector databases and AI prompt systems

Skills: Artificial Intelligence, Python, JavaScript, API, Chatbot Development

We have an exciting Contract-to-Hire (C2H) opportunity for a Big Data Engineer with 5–9 years of experience, especially in building scalable data pipelines using Databricks, Apache Spark, and AWS.
Role Highlights:
Build & manage data pipelines using PySpark & Databricks
Design and optimize ETL/ELT processes (structured & unstructured data)
Work with AWS services like S3, Lambda, CloudWatch
Orchestrate workflows using Airflow or Databricks Workflows
Strong skills in SQL, Python, and cloud migration
Bonus skills: Kafka, Jenkins, Terraform, Data Lakehouse knowledge

Skills: Artificial Intelligence, Machine Learning, Python, Data Engineering, ChatGPT, Amazon Web Services, Generative AI, DevOps, AWS Glue, PostgreSQL, Django, SQL, API, Retrieval Augmented Generation, AI Bot

We are looking for an experienced developer or team with proven expertise in AI and AI agents to build an automated, intelligent planning system for a major ecological consultancy.

The assignment involves field research on 14 species of bats, each with specific research protocols and time constraints. Currently, the entire planning process is handled manually in Excel, which is highly time-consuming and error-prone. One planner currently spends over 20 hours per week coordinating schedules for 13 researchers.

Our goal is to develop an AI-powered system, using intelligent agents to automatically generate and dynamically adjust research schedules based on changing variables such as weather conditions, researcher availability, location constraints, and study priorities.

Project Objectives
Develop an AI-driven, intelligent planning tool that:

Automatically matches each bat species to its required research protocol

Assigns researchers to locations and times based on availability and protocol requirements

Uses AI agents to make real-time planning decisions and conflict resolution

Syncs all appointments to researcher calendars (e.g., Google Calendar, Outlook)

Reacts dynamically to changing conditions (e.g., weather, staff illness, new study requests)

Saves time, reduces errors, and increases planning transparency and reliability

Key Functional Requirements
AI Agent Logic: To power the scheduling engine, protocol matching, and adaptive decisions

Dynamic Rescheduling: Real-time updates when conditions change

Multi-user Calendar Integration

Planner Dashboard: To review, override, or adjust automatically generated schedules

Scalable Architecture: Must handle dozens of studies, locations, protocols, and staff

Preferred Tech Stack
AI/ML: Python, OpenAI agents, or similar frameworks

Back-end: Python / Node.js

Front-end: React / Vue.js (or suggested alternative)

Integrations: Calendar APIs, weather APIs, Excel import functionality

Ideal Candidate Experience
Strong experience with AI agents and intelligent automation

Experience with constraint-based scheduling or workforce optimization

Familiarity with ecological fieldwork or complex logistical planning is a plus

Experience building scalable systems with calendar or workflow automation

Deliverables
Fully functional AI-based scheduling system

Admin dashboard for planners

Calendar integration for researchers

Full documentation and onboarding for the client team

Timeline & Budget
Start: ASAP

Duration: Based on proposal

Budget: Open to reasonable proposals based on scope and experience

To Apply, Please Include:
A short description of how you would approach the project using AI

Relevant case studies or project examples

Your proposed tech stack

Estimated timeline and pricing

Skills: AI Agent Development, AI App Development, AI Bot, AI Development, AI Implementation, Python, Machine Learning, API, Artificial Intelligence, JavaScript

We’re looking for a skilled automation expert to help us build a fully integrated customer support system for a Shopify-based ecommerce brand. This includes live chat, automated returns, refunds, and image recognition for return validation — similar in quality and efficiency to brands like Purple.com.

⸻

Responsibilities:

1. Gorgias Helpdesk Setup
• Connect Gorgias with Shopify to sync order and customer data
• Create macros for common customer issues (returns, invoices, shipping questions)
• Build automation rules for tagging, triaging, and auto-responses
• Set up and style the live chat widget

2. Returns Workflow (ReturnGO or Loop Returns)
• Create branded return portal with image upload fields
• Add logic such as: “Did you include the box?” or “Upload a photo of the packaging”
• Ensure returns sync with Gorgias and generate tickets automatically
• Automate shipping label generation and return status tracking

3. ShipMonk Fulfillment Integration
• Make sure Shopify and ShipMonk are fully synced for orders and returns
• Build automations based on return confirmation (e.g. ShipMonk status triggers refund or replacement)
• Set up special workflows like paid shipping for product replacements (e.g. screen protector resends)

4. Refund Automation
• Configure Shopify and return platform to auto-refund once an item is received and approved
• Handle exceptions (e.g. if box is missing or item is damaged)
• Manual fallback process for edge cases

5. REQUIRED: Image Recognition Automation
• Use Make (Integromat) or Zapier to send uploaded images to Google Vision or a similar API
• Automatically detect if required items (wallet, box, packaging) are included
• Based on result, tag the ticket and trigger macros (e.g. “missing packaging” response)
• Ensure logs are traceable and repeatable

6. Reporting & Optimization
• Set up dashboards to track CSAT, ticket volume, refund rate, and team performance
• Proactively recommend ways to improve support flow based on data

⸻

Requirements:
• Experience with Shopify, Gorgias, ShipMonk
• Familiarity with ReturnGO or Loop Returns
• Automation with Make or Zapier (including image handling)
• Proven ability to implement and troubleshoot Google Vision API or similar tools
• Excellent written English and communication

⸻

Outcome:

A customer support system that’s responsive, mostly automated, and includes AI image validation for returns — ready for scale, minimal manual work, and a great customer experience.

Please share previous projects with similar automations, and include your favorite AI tool in your first sentence.

Skills: AI Bot, Shopify

Please see the attached pdf to read through our project!

Skills: Web Development, Full-Stack Development, Next.js, AI Bot, Python, Data Scraping, Supabase, Selenium, Automation, Bot

Description:
I’m building a no-code SaaS app for Airbnb hosts and vacation rental managers that helps them generate professional marketing materials with AI — ads, emails, property descriptions, and more.

I’ve already built out the core UI in Bubble and partially wired in the OpenAI API, but I’m looking for a developer to partner with me to finish the app and build it right from the ground up.

What I Need Help With Now:

Finish connecting the current Google Ad generator (OpenAI + custom state display)

Troubleshoot text rendering and state binding issues

Set up workflows and reusable groups for other content generators

Begin structuring onboarding logic

Future Work Includes:

SEO integration (Screaming Frog, Ahrefs API)

Dashboard and content library

User account management

More AI workflows and automation

Ideal Experience:

Bubble expert with strong workflow/debugging skills

Has built or worked on SaaS tools or AI integrations before

Comfortable with OpenAI API and dynamic content

Understands good UX/UI for non-technical users

Bonus: Experience with data scraping or visual brand analysis (colors/fonts)

Timeline:
Start ASAP — work can be scoped module by module, or longer-term collaboration.

Budget:
Open — let's discuss based on experience and scope fit.

How to Apply:
Send me:

A short intro (who you are + your Bubble experience)

Links to any past apps or projects

Why this project excites you

Skills: AI Bot, Bubble.io

We are seeking an experienced Agentic AI Developer with expertise in multi-model and multi-agent development. The ideal candidate should be proficient in Python and have hands-on experience with Langgraph, Langfuse, and MCP. You will work on innovative AI solutions that require a deep understanding of agent-based systems. If you are passionate about pushing the boundaries of AI technology and have the required skills, we want to hear from you!

Skills: AI Agent Development, AI Bot, Computer Vision, Python, Artificial Intelligence

You will be responsible for integrating the Agora interactive whiteboard with our AI module. The expected output from the whiteboard will be a character along with specific AI-generated answers.
For example, if the AI input is "What is 5 + 5?", the Agora whiteboard output should be "10," presented in a fun and funky style.
This is a long-term opportunity. If you pass the test, there will be many ongoing projects available.

Skills: AI Agent Development, AI Bot, React, Node.js, Web Development

Description:
I’m looking for a skilled automation developer or AI bot expert to build me a private bot that functions as my daily personal assistant, powered by GPT-4 and synced with Google Calendar.

This bot should help me offload mental clutter, manage priorities, shift meetings, and support me emotionally on low-energy days.

⸻

🧠 Core Functions Required:

1. Bot Setup
• Create a private bot I can talk to daily
• Bot should be calm, clear, and feel like a loyal assistant (not a chatbot)

2. ChatGPT-4 Integration
• Connect the bot to OpenAI’s API (GPT-4 or GPT-3.5)
• Use a custom prompt I’ll provide to handle my task management, prioritization, and mental clarity check-ins

3. Daily + Weekly Check-In Automation
• Every morning, bot prompts me:
“What are your top 3 priorities today?”
“Anything weighing you down?”
“Energy check — High, Medium, or Low?”
• Weekly reflection prompt every Friday or Sunday:
“What were your wins? What drained you? What can we clean up next week?”

4. Follow-Up Reminder System
• I can say:
“Remind me to follow up with Kelvin in 3 days.”
• Bot sends me that reminder in 3 days, in-chat.

5. Google Calendar Sync
• Bot can show today’s schedule from my Google Calendar
• If I say:
“Move Tuesday 3pm call to Friday at 11am,”
the bot should:

• Reschedule the event automatically
• Confirm back to me
• If I say:
“Cancel tomorrow’s 5pm meeting,”
it should remove it from my calendar and notify me

6. Optional Bonus Features
• Voice-to-text support (if I send voice notes)
• Integration with Google Sheets or Notion to log tasks, brain dumps, or ideas
• Mood/emotion tagging based on my daily check-ins

⸻

✅ Deliverables:
• Fully working chat assistant bot
• GPT-4 integrated and preloaded with my PA prompt
• Synced to my Google Calendar (can reschedule/cancel events)
• Clear onboarding for me to adjust prompts or logic
• (Optional) Ongoing maintenance/tweaks if needed

⸻

🧩 Ideal Freelancer Has:
• Experience with OpenAI API (GPT-4) + bots
• Google Calendar API experience (authentication, modifying events)
• Knows Make.com, Zapier, or can build lightweight backend logic
• Eye for usability (this is for daily use — must feel fluid and calming)

⸻

To Apply, Please Answer:
1. Have you built a GPT-connected bot before?
2. Have you worked with Google Calendar API to reschedule or cancel events programmatically?
3. What platform or tools would you use to build this (Make, Zapier, Node.js, etc)?
4. Estimated time to complete?

Skills: ChatGPT, GPT Chatbot, ChatGPT API Integration

Fininly B.V. – White-Label SaaS Platform for Alternative Finance

Project Overview:
Fininly B.V. is a Dutch fintech company specializing in providing a white-label Software as a Service (SaaS) platform tailored for the alternative finance market. Our platform empowers businesses to create, manage, and distribute financial products efficiently and compliantly.

Key Features:

Product Lifecycle Management: Design, distribute, and administer financial products seamlessly.

Compliance and Regulation: Stay aligned with global financial regulations such as AFM, MiFID II, ECSPR, GDPR, and DORA.

AI-Powered Assistance: Leverage "Finn," our AI bot, to transform innovative ideas into viable financial products swiftly.

Customizable Widgets: Enhance user experience with real-time financial insights through customizable dashboard widgets.

Global Marketplace Access: Expand your reach by offering investment products to users across our extensive client network.

Achievements:

Trusted by leaders in real estate crowdfunding, fund management, neo-banking, and fintech sectors.

Enabled clients to launch compliant financial platforms in record time, significantly reducing development costs.

Consistently met and exceeded compliance standards, ensuring client operations remain within legal frameworks.

Skills: .NET, Software Architecture, Full Stack Development, Angular, OpenAI

AI-Powered Voice Call Center Automation to enhance call center efficiency, improve customer experience, and reduce operational costs by implementing an AI-powered voice bot capable of handling customer inquiries based on insights derived from past human-agent interactions.

SCOPE OF WORK
•⁠ ⁠Data Acquisition and Preparation:
o Collect and preprocess historical voice call recordings and transcripts.
o Cleanse, normalize, and annotate data for AI model training.
o Establish a secure data storage and access mechanism.
•⁠ ⁠AI Model Development and Training:
o Develop a Natural Language Understanding (NLU) model to accurately interpret customer intent.
o Develop a Dialogue Management model to guide conversations effectively.
o Train the models using the prepared historical conversation data to learn common questions, effective responses, and resolution strategies.
o Implement Text-to-Speech (TTS) and Automatic Speech Recognition (ASR) capabilities for seamless voice interaction.
•⁠ ⁠System Integration:
o Integrate the AI voice bot with the existing call center infrastructure (e.g., telephony systems, CRM).
o Develop APIs for data exchange and communication between the AI bot and other systems.
•⁠ ⁠Deployment and Testing:
o Deploy the AI voice bot in a controlled environment for initial testing.
o Conduct rigorous testing, including functional testing, performance testing, and user acceptance testing (UAT).
o Iteratively refine the AI model and system based on testing feedback.
•⁠ ⁠Go-Live and Monitoring:
o Deploy the AI voice bot to the production environment.
o Establish monitoring dashboards and alerts to track system performance and identify areas for improvement.
o Develop a process for ongoing AI model retraining and updates based on new conversation data and performance analysis.

DELIVERABLES
•⁠ ⁠Processed and annotated historical conversation data.
•⁠ ⁠Trained NLU and Dialogue Management AI models.
•⁠ ⁠Integrated AI voice bot with existing call center infrastructure.
•⁠ ⁠Comprehensive testing documentation and reports.
•⁠ ⁠Deployed AI voice bot in the production environment.
•⁠ ⁠Monitoring dashboards and performance reports.

Skills: Conversational AI, Natural Language Generation, Customer Service Chatbot, AI Chatbot, Machine Learning, Artificial Intelligence, Natural Language Processing, API, JavaScript

Wir entwickeln „Fixlio“ – ein intelligentes Online-Terminbuchungssystem ausschließlich für Kfz-Werkstätten. Ziel ist es, kleinen und mittleren Werkstätten in Deutschland ein einfaches, aber leistungsfähiges Tool zur digitalen Terminverwaltung bereitzustellen.

Ein voll funktionsfähiger Prototyp, mit:
Web-App (Kunde + Adminbereich)
Responsivem Design (mobile-first)
Live-Buchungen, Kalenderverwaltung & Erinnerungen
Basis-CRM und Serviceverwaltung

Funktionale Anforderungen (in Modulen):
1. Buchungssystem (Frontend für Kunden)
Leistungswahl: Ölwechsel, TÜV, Bremsen etc.
Anzeige freier Termine auf Basis von Verfügbarkeit + Ressourcenzuordnung
Eingabeformular: Name, Telefonnummer, Kennzeichen, ggf. Ersatzwagenbedarf
Terminübersicht + Bestätigung (Mail/SMS)
Link zur Änderung/Stornierung

2. Admin-Panel (für Werkstatt)
Login / Rechteverwaltung
Kalenderansicht mit Drag & Drop
Leistungen verwalten (Name, Dauer, Preis)
Ressourcenverwaltung: Bühnen, Mitarbeiter
Terminübersicht & Kundendatenbank
Blockzeiten (z. B. Urlaub, Mittagspause)

3. Kommunikation & Erinnerungen
E-Mail- und SMS-Benachrichtigungen (z. B. mit Twilio oder Mailgun)
Vorab-Erinnerung (24h)
Bewertungslink nach Termin (optional)

4. Kundenmanagement (CRM Light)
Automatische Kundenerfassung bei Buchung
Kundenhistorie einsehbar (Termine, Leistungen)
Suchfunktion (nach Kennzeichen, Name)

5. Integration & Website
Widget zur Integration in bestehende Webseiten

Start: ASAP
MVP fertig: innerhalb 2–6 Wochen
Laufende Optimierung danach möglich

Skills: Web Application, AI Agent Development, AI Bot, German, Web Development, Search Engine Optimization, JavaScript

***NO AGENCIES***

I have an opportunity for a skilled developer, to join me in a project to create a voice application for a customer services use case.

You will need excellent Python and Node.js experience, as well as frontend experience with React JS/TS.

We will be building an application using the new Amazon Nova Sonic speech to speech model, with integration to Twilio / AWS Connect.

You will need experience with Lambda, SQS/SNS, RDS Postgres, Appsync, API Gateway, CloudFront, SAM stacks. If you have any experience with AWS Connect then that would be a bonus.

Experience with Twilio TWimL an advantage.

Skills: PostgreSQL, AI Agent Development, AI App Development, AI Bot, AI Development, AWS Lambda, Amazon Web Services, Python, API, Node.js

**Scope of Work: AI Voice Agent Reminder & Check-In System**

**Prepared For:** Blue Sky AI Automation
**Service Type:** AI-Powered Wellness & Check-In Call System
**Platform:** GoHighLevel (GHL), n8n, Retell AI
**Purpose:** Daily AI voice-initiated care/reminder calls to seniors, children, and other dependents, with automated follow-up and caregiver alerting.

---

### 1. **Project Overview**

This AI-powered check-in and care call system is designed to ensure the well-being of vulnerable individuals such as:

* Seniors (wellness check-ins, medication reminders)
* Latchkey kids (after-school safety checks)
* Individuals with special needs

The system uses an AI voice agent to place scheduled calls, engage in a pre-defined conversational script, gather basic information, log interaction results, and notify caregivers based on outcomes. This system is powered by GoHighLevel for CRM, Retell AI for the voice agent, and n8n for automation and integration.

---

### 2. **Core Features and Requirements**

#### 2.1. **Scheduling Engine**

* Caregivers configure call schedules per contact via GoHighLevel
* Call time and frequency stored in custom fields in the GHL contact record
* n8n handles trigger scheduling to launch the Retell AI voice agent at defined intervals

#### 2.2. **Custom Question Configuration**

* Customers input personalized daily questions (e.g., “Did you take your medication?”, “How do you feel today?”)
* Questions and scripts are stored in custom fields in GHL or via n8n-integrated JSON structure
* Voice prompts personalized via text-to-speech (TTS) in Retell AI

#### 2.3. **Retell AI Voice Agent**

* Outbound calls initiated through n8n using Retell AI APIs
* AI reads contact-specific script/questions and listens/responds in real time
* Logs conversation results (responses or flags) to GHL contact notes
* If no answer:

* Retry up to 2 times at 5-minute intervals
* On third failure, initiate a call to caregiver contact and leave a message or live update

#### 2.4. **Caregiver Notification System**

* SMS sent via GHL after each successful contact with summary of interaction
* If no answer after retries, n8n triggers outbound call via Retell AI to caregiver with alert message
* All interactions logged into GHL timeline

#### 2.5. **Voice Personalization and Prompts**

* Intro and closing messages can be custom recorded or use AI TTS via Retell
* Optional messages: reminders, affirmations, family greetings
* Holiday/weekend logic may alter script tone (Phase 2)

#### 2.6. **Contact & CRM Management**

* GoHighLevel CRM is the source of truth
* Fields:

* Contact Name (Recipient)
* Caregiver Contact
* Schedule Time & Frequency
* Questions/Responses
* Notes, Tags, Status

#### 2.7. **Logging and Reporting**

* All responses and outcomes logged as GHL Notes
* Structured activity logs exported daily/weekly if needed
* Dashboard report (Phase 2): call status, missed calls, alerts triggered

---

### 3. **System Integration Requirements**

* **GoHighLevel:** CRM and campaign workflows
* **n8n:** Trigger scheduler, contact data manipulation, webhook bridges, retry logic
* **Retell AI:** Voice agent calls, TTS responses, real-time conversation logging

---

### 4. **Functional Workflow Summary**

1. Caregiver configures call recipient, schedule, caregiver number, and questions via GHL form
2. n8n triggers outbound call via Retell AI at scheduled time
3. Retell AI agent places the call, reads messages/questions, and logs the results
4. If answered:

* Log responses in GHL
* Notify caregiver via SMS
5. If no answer:

* Retry 2 times (5-minute interval)
* If all fail, call caregiver to report failure

---

### 5. **Developer Deliverables**

* Custom n8n workflows:

* Schedule interpreter
* Retell API call builder
* Response logger and alert handler
* Retell AI configuration:

* TTS and voice logic
* Script management
* Response classification
* GHL CRM setup:

* Custom fields, forms, and automations
* Contact-based voice logic and flags

---

### 6. **Future Considerations (Phase 2)**

* Sentiment detection in AI responses
* Dynamic escalation chains (multiple caregivers)
* User dashboard with visual call results
* AI alert system for health anomalies or concerning responses
* Voicemail transcription and archival

---

**End of Scope of Work**

Skills: AI Agent Development, AI Bot, AI Builder, HighLevel, n8n

**Scope of Work: AI Voice Agent Reminder & Check-In System**

**Prepared For:** Blue Sky AI Automation
**Service Type:** AI-Powered Wellness & Check-In Call System
**Platform:** GoHighLevel (GHL), n8n, Retell AI
**Purpose:** Daily AI voice-initiated care/reminder calls to seniors, children, and other dependents, with automated follow-up and caregiver alerting.

---

### 1. **Project Overview**

This AI-powered check-in and care call system is designed to ensure the well-being of vulnerable individuals such as:

* Seniors (wellness check-ins, medication reminders)
* Latchkey kids (after-school safety checks)
* Individuals with special needs

The system uses an AI voice agent to place scheduled calls, engage in a pre-defined conversational script, gather basic information, log interaction results, and notify caregivers based on outcomes. This system is powered by GoHighLevel for CRM, Retell AI for the voice agent, and n8n for automation and integration.

---

### 2. **Core Features and Requirements**

#### 2.1. **Scheduling Engine**

* Caregivers configure call schedules per contact via GoHighLevel
* Call time and frequency stored in custom fields in the GHL contact record
* n8n handles trigger scheduling to launch the Retell AI voice agent at defined intervals

#### 2.2. **Custom Question Configuration**

* Customers input personalized daily questions (e.g., “Did you take your medication?”, “How do you feel today?”)
* Questions and scripts are stored in custom fields in GHL or via n8n-integrated JSON structure
* Voice prompts personalized via text-to-speech (TTS) in Retell AI

#### 2.3. **Retell AI Voice Agent**

* Outbound calls initiated through n8n using Retell AI APIs
* AI reads contact-specific script/questions and listens/responds in real time
* Logs conversation results (responses or flags) to GHL contact notes
* If no answer:

* Retry up to 2 times at 5-minute intervals
* On third failure, initiate a call to caregiver contact and leave a message or live update

#### 2.4. **Caregiver Notification System**

* SMS sent via GHL after each successful contact with summary of interaction
* If no answer after retries, n8n triggers outbound call via Retell AI to caregiver with alert message
* All interactions logged into GHL timeline

#### 2.5. **Voice Personalization and Prompts**

* Intro and closing messages can be custom recorded or use AI TTS via Retell
* Optional messages: reminders, affirmations, family greetings
* Holiday/weekend logic may alter script tone (Phase 2)

#### 2.6. **Contact & CRM Management**

* GoHighLevel CRM is the source of truth
* Fields:

* Contact Name (Recipient)
* Caregiver Contact
* Schedule Time & Frequency
* Questions/Responses
* Notes, Tags, Status

#### 2.7. **Logging and Reporting**

* All responses and outcomes logged as GHL Notes
* Structured activity logs exported daily/weekly if needed
* Dashboard report (Phase 2): call status, missed calls, alerts triggered

---

### 3. **System Integration Requirements**

* **GoHighLevel:** CRM and campaign workflows
* **n8n:** Trigger scheduler, contact data manipulation, webhook bridges, retry logic
* **Retell AI:** Voice agent calls, TTS responses, real-time conversation logging

---

### 4. **Functional Workflow Summary**

1. Caregiver configures call recipient, schedule, caregiver number, and questions via GHL form
2. n8n triggers outbound call via Retell AI at scheduled time
3. Retell AI agent places the call, reads messages/questions, and logs the results
4. If answered:

* Log responses in GHL
* Notify caregiver via SMS
5. If no answer:

* Retry 2 times (5-minute interval)
* If all fail, call caregiver to report failure

---

### 5. **Developer Deliverables**

* Custom n8n workflows:

* Schedule interpreter
* Retell API call builder
* Response logger and alert handler
* Retell AI configuration:

* TTS and voice logic
* Script management
* Response classification
* GHL CRM setup:

* Custom fields, forms, and automations
* Contact-based voice logic and flags

---

### 6. **Future Considerations (Phase 2)**

* Sentiment detection in AI responses
* Dynamic escalation chains (multiple caregivers)
* User dashboard with visual call results
* AI alert system for health anomalies or concerning responses
* Voicemail transcription and archival

---

**End of Scope of Work**

Skills: AI Agent Development, AI Bot, AI Builder, n8n, HighLevel

We’re looking for a Go-to-Market Engineer - a technical generalist who can rapidly build, automate, and optimise systems that directly support sales, marketing, and customer success efforts. This person lives at the intersection of code, data, and growth, using tools and automation to drive revenue.

What You’ll Be Responsible For:
Building and maintaining automated cold outreach flows (e.g. Smartlead, Instantly, Clay + Make)

Creating internal tools and dashboards to support lead gen, qualification, and tracking

Integrating APIs and SaaS platforms to streamline GTM operations (CRM, email, enrichment, analytics)

Leveraging AI and prompt engineering to personalise emails, generate summaries, or auto-reply

Running A/B tests and optimising conversion points across the sales funnel

Collaborating with growth, sales, and marketing to prototype landing pages, tools, or experiments

Tech Stack You Might Work With:
Automation: Make.com, Zapier, n8n

Email Tools: Smartlead, Instantly, Mailshake

Enrichment: Clay, Clearbit, Apollo, OpenAI

Data: Airtable, Postgres, Google Sheets (with AI)

Frontend (bonus): Webflow, React, Tailwind

Backend (lightweight): Node.js, Python, Supabase

✅ Ideal Profile
Technical background (full-stack, growth engineer, dev-ops, or data engineer)

Obsessed with efficiency, speed, and revenue impact

Can write code, integrate tools, and think like a marketer

Knows how to work fast and ship without perfect specs

Skills: AI Agent Development, AI Bot, Cold Email, Automation, Data Scraping, Email Automation, Web Scraping, Customer Service Chatbot

Location: Remote
Job Type: Contract / Freelance
Start Date: As soon as possible

Project Overview:
We are seeking a skilled R Shiny developer to build a dynamic web-based application that integrates with OpenAI's ChatGPT API and a structured SQL database. The goal is to enable users to interact with clinical or research data through a conversational interface. The app should support data analysis and generate interactive visualizations through natural language input.

Key Responsibilities:
• Develop a user-friendly R Shiny dashboard connected to a SQL database (e.g., PostgreSQL, MySQL, or MS SQL).
• Integrate the ChatGPT API into the R Shiny app, enabling natural language queries and commands.
• Design and implement secure and efficient back-end communication with the database for:
o Filtering, aggregating, and summarizing clinical data.
o Generating plots (ggplot2, plotly, etc.) from user input via ChatGPT.
• Ensure proper user session management and error handling.
• Provide documentation and basic user training materials.

Required Qualifications:
• Proven experience developing applications in R Shiny.
• Strong knowledge of SQL and database querying from within R.
• Experience with OpenAI APIs, particularly the ChatGPT or GPT-4 endpoints.
• Proficiency in data visualization with ggplot2 or plotly.
• Ability to translate natural language prompts into actionable R code.
• Familiarity with security best practices for handling health or research data (optional but a plus).

Preferred Qualifications:
• Experience with clinical or biomedical data.
• Familiarity with Shiny Server, Docker, or RStudio Connect.
• Previous projects involving AI-driven dashboards or LLM-assisted analytics.

Skills: ChatGPT API Integration, ChatGPT, Web Application, AI Bot, PostgreSQL, R Shiny, R, ggplot2, ChatGPT API, ChatGPT Prompt

🧠 Project Overview
We’re building a lean but scalable junk hauling MVP that uses cold SMS via SIM banks, with an AI bot (OpenAI GPT-4o) handling initial responses. The system needs a dashboard that lets users:

View leads and full message history

See AI-tagged responses

Manually override the bot

Assign tags

Trigger drips and follow-up messages

Send quotes

Track SIM usage and bot-to-human transitions

This isn’t a pretty marketing site — it’s a working command center.

We need someone who can build this admin interface from scratch in React, and also act as the technical lead on the frontend: defining flows, coordinating with the backend dev, and shaping the system with the founder.

✅ Responsibilities
🧩 Frontend (React Admin UI)
Build a real-time dashboard to:

View and search SMS conversations

Display AI replies and tags

Allow SDRs or team to jump in and reply manually

Assign tags and trigger drips (7d, 30d, 90d, etc.)

Mark leads as "Not interested", "Quote sent", "Booked", etc.

Trigger or edit quote messages manually

Use React.js + TailwindCSS with component libraries like ShadCN or Radix

🧭 Technical PM / Product Owner
Help define features, flows, and UI/UX logic

Write mini-specs (e.g., "When tag = interested, start 7-day follow-up drip")

Coordinate with backend dev to connect all APIs

Run test cases and check for logic accuracy

Own the frontend’s success — no babysitting

✅ Required Skills
3+ years with React.js

Strong REST API integration experience

Familiar with component libraries (e.g., ShadCN, Headless UI)

Experience building admin panels, internal tools, or CRMs

Bonus: Experience with SMS/chatbot-style UI or AI integrations

Able to think like a product owner and drive implementation

💡 Bonus Points If You Have:
Built systems using OpenAI, chatbots, or lead tagging

Experience with cold outreach, SMS, or SIM bank systems

Worked on MVP SaaS or CRM tools in the past

🛠 Tech Stack (for reference)
Frontend: React.js + TailwindCSS + ShadCN / Radix

Backend: Node.js + Express (handled by backend dev)

Database: SQLite → MongoDB

AI: OpenAI GPT-4o

Messaging: SIM bank (Ejoin HTTP API)

🚀 Why Join?
Real system, real users, real traction — no fluff

You’ll help shape the product from day one

Long-term growth: this MVP will evolve into a full SaaS platform

You’ll get ownership of your work, not just tasks

📩 How to Apply
Please include:

Short note on your relevant experience

Links to dashboards or internal tools you’ve built

Your hourly rate and weekly availability

Bonus: Describe how you’d structure the tag + drip + message view UI

Skills: React, JavaScript, CSS, HTML, HTML5, Web Development, Web Application

Offline RAG Software Bill Assistant in C (With Local LLM Integration)

🎯 Goal

Develop a desktop application in C (.NET) that functions as a chatbot-style assistant for offline software billing support, powered by an offline LLM model (such as LLaMA.cpp or Phi-2 ONNX/gguf) and incorporating RAG (Retrieval-Augmented Generation) from a directory of local documents.

---

✅ Core Features

1. Chat Interface

Basic GUI chatbot interface using Windows Forms or WPF.
Displays a conversation between the user and the AI.
Accepts user input as free-form questions or commands.

2. Directory Selection

Two folder pickers:

"Data Source Directory": Directory containing documents (.txt, .md, .pdf, etc.) to use in retrieval.
"Prompt Template Directory": Stores prewritten prompts/templates that shape the chatbot behavior (system messages, instructions, etc.).

3. Prompt System

On chat start, load a system prompt from a selected file in the Prompt Template Directory.
Inject the selected system prompt into the initial context of the LLM.

4. RAG (Retrieval-Augmented Generation)

Use a vector database (optional) or basic embedding similarity search over the documents in the selected Data Source Directory.
Extract relevant context chunks and prepend them to the user prompt before sending to the LLM.
Can use sentence-transformer models or ONNX-based embedding models for this.

5. Offline LLM Model Integration

Integrate with a local LLM using:

[`llama.cpp`](https://github.com/ggerganov/llama.cpp) for LLaMA/GGUF models.
[`phi-2` ONNX version](https://huggingface.co/microsoft/phi-2) if needed.
Communicate via command-line, DLL, or local server depending on wrapper used.
Support streaming response (if feasible) or display full reply after generation.

6. Local Operation

All components must run offline, with no external API calls.
Ensure caching of embeddings and indexed files.

---

🔧 Tech Stack Recommendations

| Component | Suggested Tool/Library |
| ---------------- | ----------------------------------------------- |
| GUI | WPF or WinForms (.NET 6/7) |
| LLM Interface | llama.cpp via command line or C wrapper |
| Embeddings | `onnxruntime` + MiniLM/BERT models locally |
| Document Parsing | PDF: `PdfPig`, Word: `OpenXml`, Text: native |
| Vector Search | Simple cosine similarity OR Faiss (via wrapper) |
| Prompt Templates | Simple .txt files stored locally |
| Logging | Serilog or built-in logging |

---

📂 Project Folder Structure (Example)

```
/RAGChatBot
├── /Models
│ └── local_llm.gguf
├── /Data
│ └── (User-selected documents for retrieval)
├── /Prompts
│ ├── default.txt
│ └── software_support_prompt.txt
├── /Cache
│ └── embeddings.json
├── Program.cs
├── MainForm.cs
└── LLMService.cs
```

---

🧠 Behavior Example

1. User selects a data directory and prompt template.
2. User types: “How do I generate a software invoice?”
3. System:

Loads relevant chunks from local documents.
Adds selected prompt template as the system message.
Constructs final input: `prompt_template + retrieved_chunks + user_input`.
Sends input to the local LLM.
Displays AI response in the chat UI.

---

🚧 Future Enhancements (Optional)

Embedding pre-indexing and caching.
Summarized document preview.
PDF/CSV output of chat history.
Chat export.
Token usage visualization (useful for optimization).
Model switcher UI.

Skills: AI Bot, Windows App Development, macOS, C#

Hello, I want you to create basic ai website design that impliments applications for jobs. So there will be individuals that apply for jobs and employers applying the job list. This i want the ai to automate to make people looking for jobs to auto search and apply compared to their profile and what jobs they are looking for and the area they are looking at.

Skills: Python, Chatbot, AI Chatbot, GPT-4, Chatbot Development, Generative AI, AI Bot, LLM Prompt, Artificial Intelligence, Natural Language Processing, Machine Learning, LLM Prompt Engineering, Amazon Bedrock

Job Title:
Creative Flyer Designer for AI-Based Solar Support Bot

Job Description:
We are launching an innovative AI Call Bot service tailored for solar companies (B2B & B2C) and need a professional and creative flyer to showcase our solution. The flyer should be engaging, visually compelling, and clearly communicate the benefits of our service to potential clients in the solar industry.
Scope of Work:
Design a 1-page flyer (print + digital)

Style: Modern, clean, tech-forward — aligned with AI & solar energy branding

Format: PDF (for print), PNG/JPEG (for online use), source file (AI/PSD)

Flyer Content Includes:
Headline (e.g. "Why hire 10 when 1 AI Bot can do it better?")

Key Features:

24/7 Customer and Technical Support

WhatsApp-enabled AI Bot

Handles queries, tracking, product selection, delays, and more

Reduces cost by replacing large support teams
Coste effective technical support 24/7 Available

Conversational Taglines (e.g. "Hi! I’m here to solve your solar problems!")

Contact Numbers:

[Removed by Freelancer.com Admin]

Solar-voice.de - landing page QR needs to be placed

Target Audience:
Solar product brands (B2B/B2C)

Companies needing scalable customer support

Marketing teams in clean energy sectors

Deliverables:
2-3 flyer layout options for review

Final approved design in print and digital formats

Editable source file (PSD, AI, or equivalent) , Printable

Flyer should match the CI of the logo
*** URGENT : NEED 1 Day Delivery*****

Skills: Graphic Design, Logo Design, Photoshop, Illustrator, Flyer Design

We are seeking a highly skilled AI Agent Developer with proven experience on Lindy.ai to help us build a cutting-edge AI Sales & Recruitment Agent.

✅ What You’ll Do:

Design and deploy an AI agent on Lindy.ai focused on recruitment and lead generation
Automate outreach, follow-ups, and candidate engagement
Collaborate with our team to fine-tune messaging, workflows, and sales funnels
Optimize the agent for performance, conversions, and seamless user experience
✅ Requirements:

Hands-on experience with Lindy.ai and building/optimizing AI agents
Strong understanding of AI sales, recruitment, and automation strategies
Ability to integrate with CRM systems and lead databases
Excellent communication and problem-solving skills

Skills: AI Agent Development, AI Development, AI Implementation, AI Bot, Deep Learning, Artificial Intelligence, Python, Machine Learning, Artificial Neural Network, Natural Language Processing

I am a business owner and need to post regularly on Linked In. I have the content via I talk to text but I need AI bot to format the content to make Viral Linked In posts and create viral tag lines etc.

Skills: Next.js, React, Generative AI, Web Application, Blockchain Development, Python, AI Development, AI Agent Development, OpenAI API, Artificial Intelligence, Natural Language Processing, LLM Prompt Engineering, AI Bot, API Integration, AI App Development

We are seeking an experienced freelancer to help build our AI marketing agency from the ground up. The ideal candidate will possess a strong understanding of AI technologies and their applications in marketing. Your responsibilities will include designing AI-driven marketing strategies, developing automated solutions, and integrating AI tools into our operations. If you are passionate about leveraging AI to enhance marketing efforts and have a proven track record in this field, we want to hear from you!

Skills: AI Agent Development, AI Model Development, AI Bot, AI Development, AI Implementation, Digital Marketing, Airtable