Job Title | Budget | ||||
---|---|---|---|---|---|
Voice Interaction AI Model Integration
|
20 - 44 USD
/ hr
|
22 hours ago |
Client Rank
- Risky
1 open job
India
|
||
Required Connects: 10
We are seeking an experienced AI developer to help integrate a generative AI model that can listen and respond with voice. The ideal candidate will have a strong background in machine learning and natural language processing. Your expertise will be crucial in developing an interactive and responsive voice assistant that can understand and generate human-like responses. If you have a passion for AI technologies and a track record of successful integrations, we would love to hear from you.
Skills: Machine Learning, Python, Artificial Intelligence, TensorFlow, Deep Learning
Hourly rate:
20 - 44 USD
22 hours ago
|
|||||
Collaboration for Developing an AI-Based Educational Platform
|
not specified | 1 day ago |
Client Rank
- Risky
1 open job
Romania
|
||
Required Connects: 9
Hi Mubashir,
I came across your profile on Upwork, and I’m very impressed by your experience and skills in Full Stack and AI application development. I’m working on an idea for an educational platform similar to MagicSchool.ai, which will integrate AI functionalities to support teachers and students in the learning process. To begin, I’d like to develop an MVP that includes the following core features: Text Rewriter – a tool to rewrite text based on specific criteria. Worksheet Generator – for creating personalized worksheets. Lesson Plan – a generator for lesson plans based on topics and specific objectives. The platform should have a unified, intuitive, and responsive interface, similar to the structure seen on MagicSchool.ai, and it should be easy to scale for future functionalities. I’d like to start with a consultation to discuss the requirements in more detail, along with the timeline and budget. I’d love to hear your perspective and see if we could collaborate. Would you be interested in discussing more details? Thank you, Gigi L
Skills: React, Next.js, TypeScript, MERN Stack, Node.js, Front-End Development, Mobile App Development, OpenAPI, Chatbot Development, AI Chatbot, Python, AI Agent Development, Generative AI, OpenAI API, AI Model Integration
Budget:
not specified
1 day ago
|
|||||
Build a Custom Chatbot Builder Platform ver4
|
300 USD | 1 day ago |
Client Rank
- Excellent
$16'224 total spent
31 hires
, 10 active
71 jobs posted
44% hire rate,
4 open job
4.63 /hr avg hourly rate paid
2985 hours
3.87
of 20 reviews
Registered at: 11/08/2018
United States
|
||
Required Connects: 10
The first part is we are to build a simple chatbot with AI capabilities, using a basic knowledge base from a few different sources one being a website, and deploy it on our test website for initial testing ,it would take lets say less than 2 weeks.
This initial version would be primitive, focusing on getting it up and running quickly. We would then plan to enhance it gradually over time, adding more sophisticated features and better backend support. For now, we would just need to integrate an API from OpenAI or a similar provider and have the chat bot working with in 2 weeks. Short Project Overview: Develop a chatbot builder platform like Chatling.ai with a drag-and-drop interface, AI integrations (GPT-4, Claude), and multilingual support. Features include customizable chatbots, analytics dashboards, multi-channel deployment (web, WhatsApp, Messenger), API integrations (Zapier, CRMs), and security measures. The platform should allow users to create, deploy, and manage AI-powered chatbots with no coding required. Technology Stack: React.js, Node.js, OpenAI API, MongoDB, AWS. You will be required to work at least 3 hours per day and will be compensated $300.00 USD per month, with additional bonuses for each user that signs up Long Project Overview: We are looking to develop a custom chatbot-building platform similar to Chatling.ai. The platform should allow users to create AI-powered chatbots without any coding skills. Users will be able to customize their bots, integrate AI models like GPT-4, and deploy them across various platforms. The system should include a drag-and-drop interface, support for conversational AI, multilingual capabilities, and integration with tools like Zapier and external APIs. Key Features: User Account System: Users should be able to sign up, log in, and manage their accounts. Options for different user roles (admin, user) with varying permissions. Chatbot Creation Interface: A drag-and-drop interface that allows users to easily design chatbot workflows. The ability to add various types of blocks (text, buttons, images, forms, etc.) and connect them. Support for setting up intents, triggers, and automated responses. AI Model Integration: Integration with AI models (GPT-4, GPT-3.5, Claude, etc.) to provide natural language understanding. Users should be able to choose the AI model they want to use for their chatbot’s responses. Multilingual Support: Support for multiple languages in the chatbot, allowing users to deploy bots globally. Integration with translation services or APIs. Bot Deployment: Easy options for users to deploy their chatbots on websites via JavaScript or iframe. Multi-channel deployment for platforms like WhatsApp, Facebook Messenger, Slack, etc. User Analytics Dashboard: Provide analytics about user interactions, performance, and chatbot engagement. Support for viewing metrics like conversation volume, lead conversion rates, and common user queries. API Integrations: Integration with third-party tools such as Zapier, CRM systems, email marketing platforms, and others. Webhook support for custom API calls to external services. Custom Branding: Allow users to customize the appearance of the chatbots to match their brand, including colors, logos, and themes. Security and Data Privacy: Ensure user data is securely stored and protected. Implement measures for GDPR compliance and data protection best practices. Admin Panel: Provide an admin panel for managing users, reviewing created chatbots, and overseeing platform activities. Admins should be able to review and approve chatbot submissions, manage billing, and track usage. Technology Stack: Frontend: React.js or Vue.js for the dynamic user interface and drag-and-drop functionality. Backend: Node.js with Express.js or Python (Flask/Django) for handling API requests and chatbot logic. AI Integration: OpenAI API (GPT-4), Dialogflow, or custom NLP models for AI-powered responses. Database: MongoDB or PostgreSQL for storing user data, chatbots, and analytics. Hosting: AWS, Google Cloud, or another cloud provider for scalable hosting. Authentication: OAuth, JWT for secure user authentication. Additional Considerations: We want to ensure that the platform is scalable, fast, and user-friendly. The UI/UX should be intuitive and easy for non-technical users to navigate. We need robust error handling and logging for troubleshooting. The platform should be mobile-responsive for use across devices. The goal is to create an all-in-one platform that allows businesses and individuals to easily build, deploy, and manage custom chatbots that integrate with their website, apps, and other communication channels.
Skills: JavaScript, Chatbot Development, Node.js, API
Fixed budget:
300 USD
1 day ago
|
|||||
Advanced AI-Powered Book Writing and Editing Web App Development
|
~878 - 1,757 USD | 1 day ago |
Client Rank
- Good
$1'952 total spent
3 hires
2 open job
5.00
of 1 reviews
Registered at: 23/12/2020
Bangladesh
|
||
:We are looking for a skilled developer or team to create a feature-rich web app for book writing, editing, and generation. This app will use Mistral AI 7B (hosted on our cloud) to handle content generation and editing tasks. The web app must include advanced options for book creation, grammar checking, copyright checking, and export functionalities.
Below are the detailed requirements: Core Features: 1. Book Creation Options: Users can customize their book with the following options: Trim Size: Select the book’s trim size. Page Setup: Bleed or non-bleed pages. Format: Choose between PDF (Print), PDF (Standard), and Word. Category: Define the book category/genre. Author Name: Input the author’s name. Chapters and Text Content: Add chapters and write content directly. Text Styling: Customize font styles, font sizes, and text formatting. Add Page Numbers: Enable/disable page numbering. Book Intro, Copyright Page, and Table of Contents: Automatically generated based on user input. 2. AI Integration: Mistral AI 7B: Host and integrate Mistral AI 7B to power the full book-writing process. Allow content generation directly within a text box, with options to auto-insert generated text into the book. AI Editing Tools: Grammar Check: 1-click full book grammar check with auto-correction. Copyright Check: 1-click copyright check for the entire book. Automatic regeneration of flagged content to ensure originality. 3. Book Export Options: Export books in the following formats: PDF (Print-ready) PDF (Standard) Word Document 4. User Workflow: No Registration Required: Users can create and generate books without logging in. Subscription Plan: Free access for basic services. Option to subscribe for premium features after testing the service. 5. Dashboard Features: User Dashboard: Manage saved projects, export history, and subscription details. Admin Panel: Manage users, projects, subscriptions, and app settings. 6. Landing Page: Attractive landing page showcasing app features, pricing, and benefits. Technical Requirements: Frontend: React.js or Vue.js for a responsive and dynamic interface. Backend: Node.js, Django, or Laravel for robust backend management. Integrate APIs for Mistral AI 7B hosted on our cloud. Database: MySQL, MongoDB, or PostgreSQL for managing user data and projects. Export Functionality: Integrate libraries for generating and exporting books in multiple formats (e.g., PDFKit for PDFs). AI Hosting: Mistral AI 7B to be hosted securely on our private cloud storage. Timeline: The project must be completed within 15-30 days. Expectations from the Developer: Experience with AI model integration and API development. Expertise in frontend and backend development. Strong focus on security and performance optimization. Clear and regular communication throughout the project. End-to-end testing and bug fixes before deployment. Reference Design: We have a Figma design prototype for the app. Please refer to the link below: Figma Design https://www.figma.com/design/SVuQ1gwosFWzHPXPBx8Zso/Book-Maker-Web-App-(Client-file)?node-id=0-1&p=f&t=Ef2tIlim0Z5rqrfG-0 https://www.figma.com/proto/SVuQ1gwosFWzHPXPBx8Zso/Book-Maker-Web-App-(Client-file)?node-id=2104-3&p=f&t=mwD4iNpXi1Me116p-0&scaling=scale-down-width&content-scaling=fixed&page-id=0%3A1 Budget and Payment Terms: Budget: Open for negotiation based on experience and expertise. Payment: Milestone-based payments preferred. How to Apply: Share your portfolio or past projects relevant to AI and web app development. Provide a proposal detailing your approach, timeline, and estimated cost. Contact via Freelancer messaging option. We look forward to collaborating with experienced developers to make this project a success! Skills: PHP, Python, Node.js, React.js, Javascript ES6
Fixed budget:
75,000 - 150,000 INR
1 day ago
|
|||||
Senior Software Engineer (React, Next.js, Supabase, TypeScript)
|
not specified | 1 day ago |
Client Rank
- Excellent
$216'238 total spent
86 hires
, 34 active
98 jobs posted
88% hire rate,
1 open job
31.45 /hr avg hourly rate paid
6530 hours
4.99
of 67 reviews
Registered at: 20/11/2015
United States
|
||
Required Connects: 21
Job Description:
We are seeking a highly skilled Software Engineer with extensive experience in Typescript, React, Node, and PostgreSQL to implement the transformation of our Bubble.io application into a robust, fully functional full-stack application. The ideal candidate will have a deep understanding of frontend and backend technologies, as well as experience in building scalable, maintainable applications using serverless architecture. The application will follow best coding practices, be written in TypeScript, and include automated tests to ensure long-term reliability. Our transition strategy involves moving features and pages from Bubble.io to the new technology stack. Each part of the app will be reviewed, refactored, and incrementally pushed out in stages. You will play a key role in ensuring smooth rollouts, maintaining the stability and security of the application while continuously improving it with each release. Key Responsibilities: - Lead the migration of the current Bubble.io app to a React and Node-based full-stack application. - Design and implement a robust, and secure database structure using PostgreSQL to handle backend needs, including user management, CRUD, and file storage. - Implement a secure user Authentication system using AWS Cognito - Write clean, maintainable, and efficient code, following best practices in TypeScript. - Collaborate with our team to gradually transition features and pages from the existing Bubble.io app to the new tech stack, ensuring a smooth, incremental migration process. - Ensure high-quality code by writing comprehensive unit and integration tests. - Implement continuous integration and deployment pipelines for each release stage. - Provide technical leadership and mentoring to junior developers as needed. Required Skills: - 3+ years of software development experience. - Strong expertise in React and Node for building scalable and high-performance web applications. - Experience with PostgreSQL or other relational databases (e.g., MySQL) and serverless backends. - Proficiency in TypeScript and a strong understanding of JavaScript fundamentals. - Experience with testing frameworks like Jest, or React Testing Library. - Strong understanding of API design and integration (RESTful and/or GraphQL). - Familiarity with gradual migration strategies in software development, maintaining both old and new systems during the transition. - Familiarity with CI/CD pipelines, Git, and version control. - Excellent problem-solving skills and ability to work independently as well as in a team. Nice to Have: - Experience with multi-region serverless architecture or edge functions. - Familiarity with Bubble.io to understand the existing application's architecture. - Experience working with GenAI tooling.
Skills: React, Next.js, Node.js, Material UI, TypeScript, Git, React Native, GraphQL, RESTful API, Firebase, Supabase, AI Model Integration, AI Implementation, OpenAI API, API Integration
Budget:
not specified
1 day ago
|
|||||
Build a Custom Chatbot Builder Platform ver3
|
300 USD | 3 days ago |
Client Rank
- Excellent
$16'224 total spent
30 hires
, 9 active
69 jobs posted
43% hire rate,
3 open job
4.63 /hr avg hourly rate paid
2985 hours
3.87
of 20 reviews
Registered at: 11/08/2018
United States
|
||
Required Connects: 10
The first part is we are to build a simple chatbot with AI capabilities, using a basic knowledge base from a few different sources one being the website, and deploy it on our website for initial testing, how long do you think it would take we say less than 2 weeks ? This initial version would be primitive, focusing on getting it up and running quickly. We would then plan to enhance it gradually over time, adding more sophisticated features and better backend support. For now, we would just need to integrate an API from OpenAI or a similar provider abd have the chat bot working with in 2 weeks.
Short Project Overview: Develop a chatbot builder platform like Chatling.ai with a drag-and-drop interface, AI integrations (GPT-4, Claude), and multilingual support. Features include customizable chatbots, analytics dashboards, multi-channel deployment (web, WhatsApp, Messenger), API integrations (Zapier, CRMs), and security measures. The platform should allow users to create, deploy, and manage AI-powered chatbots with no coding required. Technology Stack: React.js, Node.js, OpenAI API, MongoDB, AWS. You will be required to work at least 3 hours per day and will be compensated $300.00 USD per month, with additional bonuses for each user that signs up Long Project Overview: We are looking to develop a custom chatbot-building platform similar to Chatling.ai. The platform should allow users to create AI-powered chatbots without any coding skills. Users will be able to customize their bots, integrate AI models like GPT-4, and deploy them across various platforms. The system should include a drag-and-drop interface, support for conversational AI, multilingual capabilities, and integration with tools like Zapier and external APIs. Key Features: User Account System: Users should be able to sign up, log in, and manage their accounts. Options for different user roles (admin, user) with varying permissions. Chatbot Creation Interface: A drag-and-drop interface that allows users to easily design chatbot workflows. The ability to add various types of blocks (text, buttons, images, forms, etc.) and connect them. Support for setting up intents, triggers, and automated responses. AI Model Integration: Integration with AI models (GPT-4, GPT-3.5, Claude, etc.) to provide natural language understanding. Users should be able to choose the AI model they want to use for their chatbot’s responses. Multilingual Support: Support for multiple languages in the chatbot, allowing users to deploy bots globally. Integration with translation services or APIs. Bot Deployment: Easy options for users to deploy their chatbots on websites via JavaScript or iframe. Multi-channel deployment for platforms like WhatsApp, Facebook Messenger, Slack, etc. User Analytics Dashboard: Provide analytics about user interactions, performance, and chatbot engagement. Support for viewing metrics like conversation volume, lead conversion rates, and common user queries. API Integrations: Integration with third-party tools such as Zapier, CRM systems, email marketing platforms, and others. Webhook support for custom API calls to external services. Custom Branding: Allow users to customize the appearance of the chatbots to match their brand, including colors, logos, and themes. Security and Data Privacy: Ensure user data is securely stored and protected. Implement measures for GDPR compliance and data protection best practices. Admin Panel: Provide an admin panel for managing users, reviewing created chatbots, and overseeing platform activities. Admins should be able to review and approve chatbot submissions, manage billing, and track usage. Technology Stack: Frontend: React.js or Vue.js for the dynamic user interface and drag-and-drop functionality. Backend: Node.js with Express.js or Python (Flask/Django) for handling API requests and chatbot logic. AI Integration: OpenAI API (GPT-4), Dialogflow, or custom NLP models for AI-powered responses. Database: MongoDB or PostgreSQL for storing user data, chatbots, and analytics. Hosting: AWS, Google Cloud, or another cloud provider for scalable hosting. Authentication: OAuth, JWT for secure user authentication. Additional Considerations: We want to ensure that the platform is scalable, fast, and user-friendly. The UI/UX should be intuitive and easy for non-technical users to navigate. We need robust error handling and logging for troubleshooting. The platform should be mobile-responsive for use across devices. The goal is to create an all-in-one platform that allows businesses and individuals to easily build, deploy, and manage custom chatbots that integrate with their website, apps, and other communication channels.
Skills: JavaScript, Chatbot Development, Node.js, API
Fixed budget:
300 USD
3 days ago
|
|||||
Build a Custom Chatbot Builder Platform ver2
|
300 USD | 3 days ago |
Client Rank
- Excellent
$16'224 total spent
30 hires
, 9 active
69 jobs posted
43% hire rate,
2 open job
4.63 /hr avg hourly rate paid
2985 hours
3.87
of 20 reviews
Registered at: 11/08/2018
United States
|
||
Required Connects: 10
The first part is we are to build a simple chatbot with AI capabilities, using a basic knowledge base from a few different sources one being the website, and deploy it on our website for initial testing, how long do you think it would take we say less than 2 weeks ? This initial version would be primitive, focusing on getting it up and running quickly. We would then plan to enhance it gradually over time, adding more sophisticated features and better backend support. For now, we would just need to integrate an API from OpenAI or a similar provider abd have the chat bot working with in 2 weeks.
Short Project Overview: Develop a chatbot builder platform like Chatling.ai with a drag-and-drop interface, AI integrations (GPT-4, Claude), and multilingual support. Features include customizable chatbots, analytics dashboards, multi-channel deployment (web, WhatsApp, Messenger), API integrations (Zapier, CRMs), and security measures. The platform should allow users to create, deploy, and manage AI-powered chatbots with no coding required. Technology Stack: React.js, Node.js, OpenAI API, MongoDB, AWS. You will be required to work at least 3 hours per day and will be compensated $300.00 USD per month, with additional bonuses for each user that signs up Long Project Overview: We are looking to develop a custom chatbot-building platform similar to Chatling.ai. The platform should allow users to create AI-powered chatbots without any coding skills. Users will be able to customize their bots, integrate AI models like GPT-4, and deploy them across various platforms. The system should include a drag-and-drop interface, support for conversational AI, multilingual capabilities, and integration with tools like Zapier and external APIs. Key Features: User Account System: Users should be able to sign up, log in, and manage their accounts. Options for different user roles (admin, user) with varying permissions. Chatbot Creation Interface: A drag-and-drop interface that allows users to easily design chatbot workflows. The ability to add various types of blocks (text, buttons, images, forms, etc.) and connect them. Support for setting up intents, triggers, and automated responses. AI Model Integration: Integration with AI models (GPT-4, GPT-3.5, Claude, etc.) to provide natural language understanding. Users should be able to choose the AI model they want to use for their chatbot’s responses. Multilingual Support: Support for multiple languages in the chatbot, allowing users to deploy bots globally. Integration with translation services or APIs. Bot Deployment: Easy options for users to deploy their chatbots on websites via JavaScript or iframe. Multi-channel deployment for platforms like WhatsApp, Facebook Messenger, Slack, etc. User Analytics Dashboard: Provide analytics about user interactions, performance, and chatbot engagement. Support for viewing metrics like conversation volume, lead conversion rates, and common user queries. API Integrations: Integration with third-party tools such as Zapier, CRM systems, email marketing platforms, and others. Webhook support for custom API calls to external services. Custom Branding: Allow users to customize the appearance of the chatbots to match their brand, including colors, logos, and themes. Security and Data Privacy: Ensure user data is securely stored and protected. Implement measures for GDPR compliance and data protection best practices. Admin Panel: Provide an admin panel for managing users, reviewing created chatbots, and overseeing platform activities. Admins should be able to review and approve chatbot submissions, manage billing, and track usage. Technology Stack: Frontend: React.js or Vue.js for the dynamic user interface and drag-and-drop functionality. Backend: Node.js with Express.js or Python (Flask/Django) for handling API requests and chatbot logic. AI Integration: OpenAI API (GPT-4), Dialogflow, or custom NLP models for AI-powered responses. Database: MongoDB or PostgreSQL for storing user data, chatbots, and analytics. Hosting: AWS, Google Cloud, or another cloud provider for scalable hosting. Authentication: OAuth, JWT for secure user authentication. Additional Considerations: We want to ensure that the platform is scalable, fast, and user-friendly. The UI/UX should be intuitive and easy for non-technical users to navigate. We need robust error handling and logging for troubleshooting. The platform should be mobile-responsive for use across devices. The goal is to create an all-in-one platform that allows businesses and individuals to easily build, deploy, and manage custom chatbots that integrate with their website, apps, and other communication channels.
Skills: JavaScript, Chatbot Development, Node.js, API
Fixed budget:
300 USD
3 days ago
|
|||||
AI-Driven Golf Property Real Estate Platform
|
3,000 - 5,000 USD | 10 days ago |
Client Rank
- Medium
6 open job
Registered at: 17/10/2020
United States
|
||
Project Posting for GolferHomes.com - Real Estate Platform for Golf Course Properties with AI Integration
Project Title: Development of - A Real Estate Platform with AI-Driven Golf Course Property Listings, Virtual Tours, and Golf Course Information Project Overview: We are looking to develop GolferHomes.com, a cutting-edge real estate platform tailored for golf course properties. This website will offer AI-driven property descriptions, integrate immersive golf course virtual tours, and provide unique real-time data, making it the top destination for golf enthusiasts interested in buying homes on or near golf courses. The project will require building a user-friendly front-end and robust back-end with AI-powered features, multimedia integrations, and real-time data. Project Requirements Breakdown: Core Features of the GolferHomes.com Platform: 1. AI-Powered Property Descriptions Objective: Automatically generate dynamic and personalized descriptions for golf course properties. Details: Use AI to create unique property descriptions based on the listing's details (e.g., number of rooms, amenities, style of home, etc.). Include AI-generated insights about the property's proximity to the golf course, its benefits, and the lifestyle of living on a golf course. Integration with GPT-4 or other large language models to generate rich and natural descriptions. Technologies: Backend: Node.js or Python (for AI model integration) AI Model: OpenAI’s GPT-4 API (or alternative) 2. AI Golf Course Link for Property Listings Objective: Allow users to click on a property listing and access detailed, AI-generated content about the associated golf course. Details: AI Narration: AI will narrate key features of the golf course, including its design, famous holes, course difficulty, history, and what makes it unique. Multimedia Content: Each property page will include embedded images, videos, and possibly 360-degree views of the golf course. Real-Time Data: Display live weather conditions, current course status (e.g., green speed, course open/closed), and upcoming events. Technologies: Frontend: React or Angular (for interactive UI) Backend: Node.js or Python (for API integration) Media Hosting: AWS S3, YouTube/Vimeo API (for images, videos) AI Model: OpenAI GPT-4 (for golf course description) Real-Time Data: Third-party APIs for weather/course status integration 3. Interactive Virtual Tours of Properties Objective: Provide a fully interactive virtual tour of each property. Details: 360-Degree Tour: Users can virtually walk through the property using a 360-degree tour feature embedded in the property listing. Hotspots for Additional Information: Interactive hotspots that explain specific property features (e.g., “Click here to learn more about the living room”). Integration with platforms like Matterport or custom-built solutions for virtual tours. Technologies: Frontend: React or Angular Integration: Matterport API, or custom-built WebGL-based 3D viewer Backend: Node.js (for handling media and tour data) 4. AI-Generated Golf Course Overview with Narration Objective: Provide a dynamic AI-powered overview of the golf course for each property listing. Details: Narrative Voice: An AI-generated voice that describes the golf course layout, including course history, unique challenges, and topographical features. Course Details: AI will provide information like course difficulty, design elements, and the experience of playing on that course. Embedded Media: Include images, aerial videos, and potentially a 360-degree tour of the course. Technologies: Frontend: React or Angular Backend: Node.js or Python AI Model: OpenAI GPT-4 for narration Media Integration: AWS S3, YouTube API (for video embeds), 360-degree media (hosted on S3 or custom hosting solution) Voice Integration: Web Audio API or third-party text-to-speech services like Google Cloud TTS or AWS Polly. 5. Property & Golf Course Real-Time Data Integration Objective: Integrate live data about the golf course and property into the user’s experience. Details: Weather Information: Show live weather conditions (wind speed, temperature, etc.) for the golf course and property. Course Status: Integrate with golf course APIs to show real-time data like green speed, course conditions, and upcoming tournaments. Live Updates: Display real-time data such as course availability, event scheduling, and changes in conditions. Technologies: APIs: Third-party weather services (e.g., OpenWeatherMap), golf course data services (if available) Backend: Node.js or Python (for API integrations) Frontend: React or Angular (for displaying live updates) 6. Advanced Search Filters for Golf Course Properties Objective: Enable users to search for golf course homes using advanced filters that match their preferences. Details: Location Filters: Filter properties by proximity to specific golf courses, towns, or geographic areas. Price Range: Allow users to set price ranges for properties they want to explore. Golf Course Features: Filter by course difficulty, number of holes, amenities (e.g., practice facilities, clubhouse). Technologies: Frontend: React or Angular (for filter components) Backend: Node.js or Python (for search logic and database queries) Database: MongoDB or PostgreSQL (for storing property and golf course data) 7. User-Friendly Property and Golf Course Map Objective: Offer an interactive map showing properties on or near golf courses. Details: Map View: A map that marks golf courses and associated properties with pins. Clicking on a pin will show details about the property and golf course. Searchable Layers: Users can turn on and off different layers, such as course difficulty, property price ranges, and golf course amenities. Google Maps or Mapbox Integration: Integration with Google Maps or Mapbox for geospatial data. Technologies: Frontend: React (with Mapbox or Google Maps API) Backend: Node.js (for handling geospatial data queries) APIs: Google Maps API, Mapbox API 8. Scalable and Secure Cloud Infrastructure Objective: Ensure the platform can handle a high number of concurrent users and provide secure access to sensitive data. Details: Cloud Hosting: Host the website and data on scalable cloud platforms like AWS, Google Cloud, or Microsoft Azure. Data Encryption: All sensitive data (personal information, property data, etc.) will be encrypted using AES-256. Compliance: Ensure the platform adheres to necessary regulations (GDPR, CCPA, SOC 2) for data protection and privacy. Technologies: Cloud Hosting: AWS, Google Cloud, or Microsoft Azure Security: SSL encryption, JWT for session management Compliance: GDPR, CCPA, SOC 2 standards 9. Admin Dashboard for Property Management Objective: Provide an intuitive admin dashboard for managing listings, golf course data, user activity, and analytics. Details: Property Management: Admins should be able to add/edit/delete property listings and link them to specific golf courses. Golf Course Management: Admins should have a tool to add/edit golf course details, such as course information, media, and real-time data. Analytics: Provide insights into user activity, property views, and AI-driven metrics (e.g., property interest trends, popular golf courses). Technologies: Frontend: React (for the dashboard interface) Backend: Node.js or Python (for the backend API) Database: MongoDB or PostgreSQL (for storing listings and golf course data) Timeline and Deliverables Phase 1: Planning & Architecture Define user stories, final system architecture, and technology stack. Create wireframes and design prototypes. Phase 2: Core Development Develop front-end and back-end for property listings, golf course descriptions, and AI integrations. Integrate multimedia content and real-time data APIs. Phase 3: Testing & QA ( Perform unit testing, integration testing, and user acceptance testing (UAT). Finalize AI and real-time data accuracy. Phase 4: Launch & Post-Launch Support (Ongoing) Deploy the platform and ensure cloud scalability. Monitor and resolve any post-launch issues. Skills Needed: React, Angular (Frontend development) Node.js, Python (Backend development) AI Model Integration (OpenAI GPT-4 or similar) Real-Time Data Integration (APIs for weather, golf course status) Cloud Infrastructure (AWS, Google Cloud, Azure) Database Management (MongoDB, PostgreSQL) 3D/Virtual Tour Integration (Matterport or custom solutions) Third-Party Applications for Payment Processing: Common third-party payment processors for real estate platforms include: Next.js for SEO and Performance Optimization: Stripe: Known for its ease of integration and support for various payment methods Skills: Node.js, MongoDB, React Native, Next.js, GPT-4
Fixed budget:
3,000 - 5,000 USD
10 days ago
|
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