React AI-Powered Tool Development
Budget / Salary₹1,500–12,500
TypeFreelance project
LocationRemote
Posted2 hours ago
I’m building a modern, responsive AI-powered web tool that relies on React for the UI and a Python/FastAPI backend connected to Supabase/PostgreSQL. Core functionality centers on three AI capabilities—natural language processing, image recognition, and predictive analytics—exposed through well-structured APIs.
The scope includes:
• Frontend: component-driven React interface with TypeScript, state management, and full mobile responsiveness.
• Backend: FastAPI services, authentication (JWT or Supabase Auth), role-based access, and real-time endpoints.
• Database: relational modelling in PostgreSQL, Supabase edge functions, and row-level security.
• AI integration: orchestrating LLM or vision endpoints (OpenAI, Anthropic, or custom models) and wrapping them in reusable service classes.
• UX extras: admin dashboard, user settings, detailed analytics, and accessible error handling.
• DevOps: automated testing, CI/CD, containerised deployment (Docker + Fly.io/Vercel/Render), and environment management.
Deliverables will be:
1. Source code repository with clean commits and README.
2. Deployed staging site and production build.
3. API documentation (OpenAPI/Swagger) and brief user guide.
4. Test suite covering major user flows and AI endpoints.
Acceptance criteria: the app must process text, images, and data to return relevant NLP summaries, classification results, and predictive metrics inside the React dashboard at
The scope includes:
• Frontend: component-driven React interface with TypeScript, state management, and full mobile responsiveness.
• Backend: FastAPI services, authentication (JWT or Supabase Auth), role-based access, and real-time endpoints.
• Database: relational modelling in PostgreSQL, Supabase edge functions, and row-level security.
• AI integration: orchestrating LLM or vision endpoints (OpenAI, Anthropic, or custom models) and wrapping them in reusable service classes.
• UX extras: admin dashboard, user settings, detailed analytics, and accessible error handling.
• DevOps: automated testing, CI/CD, containerised deployment (Docker + Fly.io/Vercel/Render), and environment management.
Deliverables will be:
1. Source code repository with clean commits and README.
2. Deployed staging site and production build.
3. API documentation (OpenAPI/Swagger) and brief user guide.
4. Test suite covering major user flows and AI endpoints.
Acceptance criteria: the app must process text, images, and data to return relevant NLP summaries, classification results, and predictive metrics inside the React dashboard at
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