AI Note Conversion Study Platform
Budget: ₹12,500 – ₹37,500 INR
I’m creating a student-friendly web app, much like Note2PDF, that streamlines the entire note-taking workflow with artificial intelligence. A learner will be able to upload a photo or scan of handwritten pages and, within seconds, receive clean digital text. The same AI layer will instantly file that content into logical subjects or folders and then generate concise summaries and short self-test quizzes so revision feels effortless.
To keep onboarding simple, I only need basic user authentication—just enough for a personal dashboard and safe storage—so we can stay focused on the core learning features. The interface must be fully responsive; whatever you build should feel just as smooth on a phone as it does on a laptop.
Under the hood, I expect modern OCR and NLP libraries for accurate transcription, intelligent tagging and categorisation, plus a lightweight quiz-generation model. If you favour tools such as Tesseract, OpenAI, spaCy, React, or similar, that aligns well with my vision, though I’m open to equivalent solutions as long as performance stays strong and the codebase remains maintainable.
Deliverables should include:
• A working MVP deployed to a test domain with mobile-first responsive design
• Clean, commented source code and setup instructions
• Brief documentation that shows how note conversion, organisation, and quiz creation are triggered from the front end
Once we have an MVP in place, I plan to iterate with analytics and premium study aids, so solid foundational architecture is important.
To keep onboarding simple, I only need basic user authentication—just enough for a personal dashboard and safe storage—so we can stay focused on the core learning features. The interface must be fully responsive; whatever you build should feel just as smooth on a phone as it does on a laptop.
Under the hood, I expect modern OCR and NLP libraries for accurate transcription, intelligent tagging and categorisation, plus a lightweight quiz-generation model. If you favour tools such as Tesseract, OpenAI, spaCy, React, or similar, that aligns well with my vision, though I’m open to equivalent solutions as long as performance stays strong and the codebase remains maintainable.
Deliverables should include:
• A working MVP deployed to a test domain with mobile-first responsive design
• Clean, commented source code and setup instructions
• Brief documentation that shows how note conversion, organisation, and quiz creation are triggered from the front end
Once we have an MVP in place, I plan to iterate with analytics and premium study aids, so solid foundational architecture is important.
Related categories:
OCR
API Development
NLP
AI Text-to-text
AI Chatbot
AI Model Development
AI Content Creation
AI Development