Fullstack Developer for Med Student Web App
Budget: €18 – €36 EUR
Looking for a fullstack developer (frontend + backend + GPT-4 integration) to build a polished MVP for a web app targeting medical students.
The app allows students to upload lecture files (PDF, Word, PPT). The system then uses GPT-4 to generate complex, trap-based MCQs automatically. A dashboard tracks their performance by chapter and suggests personalized revision sessions based on mastery level. A public landing page must be included, clearly presenting the app's value and purpose to new users. The design should be clean, intuitive, and optimized for daily use by students.
Stack requirements:
Frontend: Next.js with Tailwind CSS. The interface must be responsive, mobile-first, and include a light/dark mode toggle. Prepare the architecture for future bilingual support (French/English), even if not required in the MVP.
Backend: Supabase (authentication, database, file storage, and user progression tracking).
AI logic: OpenAI GPT-4 via API, with vector database (Supabase vector, Pinecone, or equivalent) for semantic chunking and search across user content.
Perfect if you are comfortable working from a Figma base.
Key expectations:
- Deliver a clean, modular MVP.
- Maintain a well-documented codebase with clear commits.
- Implement structured, fast UI with no visual lag.
- Ensure readable UX for long study sessions.
- Develop a landing page that presents the project clearly with one CTA (register or upload).
- Communicate progress transparently each week.
Other details:
Delivery expected by the end of october.
Target budget: €4,500.
Preferred regions: Eastern Europe (Ukraine, Romania, Serbia, Poland, Bulgaria).
India-based freelancers with solid experience in OpenAI + Supabase are also welcome.
We are looking for a single developer who can fully handle the frontend, backend, and AI pipeline.
Please include:
- Links to real projects or GitHub repos involving GPT/OpenAI, Supabase, and Next.js.
- Confirmation you are available to start around September 15.
- Any past experience with semantic search, education-focused apps, or scalable MVPs.
The app allows students to upload lecture files (PDF, Word, PPT). The system then uses GPT-4 to generate complex, trap-based MCQs automatically. A dashboard tracks their performance by chapter and suggests personalized revision sessions based on mastery level. A public landing page must be included, clearly presenting the app's value and purpose to new users. The design should be clean, intuitive, and optimized for daily use by students.
Stack requirements:
Frontend: Next.js with Tailwind CSS. The interface must be responsive, mobile-first, and include a light/dark mode toggle. Prepare the architecture for future bilingual support (French/English), even if not required in the MVP.
Backend: Supabase (authentication, database, file storage, and user progression tracking).
AI logic: OpenAI GPT-4 via API, with vector database (Supabase vector, Pinecone, or equivalent) for semantic chunking and search across user content.
Perfect if you are comfortable working from a Figma base.
Key expectations:
- Deliver a clean, modular MVP.
- Maintain a well-documented codebase with clear commits.
- Implement structured, fast UI with no visual lag.
- Ensure readable UX for long study sessions.
- Develop a landing page that presents the project clearly with one CTA (register or upload).
- Communicate progress transparently each week.
Other details:
Delivery expected by the end of october.
Target budget: €4,500.
Preferred regions: Eastern Europe (Ukraine, Romania, Serbia, Poland, Bulgaria).
India-based freelancers with solid experience in OpenAI + Supabase are also welcome.
We are looking for a single developer who can fully handle the frontend, backend, and AI pipeline.
Please include:
- Links to real projects or GitHub repos involving GPT/OpenAI, Supabase, and Next.js.
- Confirmation you are available to start around September 15.
- Any past experience with semantic search, education-focused apps, or scalable MVPs.