StudyMind - AI study Assistant
Budget: ₹1,500 – ₹12,500 INR
I’m ready to turn my concept, StudyMind, into a fully-functioning AI study companion. The core experience must revolve around three pillars: accurate note summarization, reliable question answering, and dynamic quiz generation. A future phase may explore learning recommendations, but right now I want absolute polish on those first three features.
The backend has to be written in Python—FastAPI or Flask is fine—as this will let us plug in OpenAI or similar LLM endpoints without friction. I need clean, well-documented code, unit tests, and a simple way to swap out language-model providers if pricing or policy changes.
On the front end, I picture an intuitive dashboard where students can upload notes, pose questions in natural language, and generate practice quizzes with a click. Whether you go React, Vue, or another modern framework, the interface needs to feel fast and distraction-free on desktop and mobile.
Deliverables
• Python backend with endpoints for summarization, Q&A, and quiz generation
• Responsive web interface connected to those endpoints
• Clear setup scripts, README, and deployment guide (Docker or similar)
• Brief test suite demonstrating each core feature works end-to-end
Acceptance criteria: a new user should be able to spin up the project locally, drop in a PDF or text file, receive a concise summary, ask a follow-up question about the content, and then generate a 10-question quiz—all within one session and without errors.
If you have shipped AI-driven learning tools before, I’d love to see them. Otherwise, outline how you would architect the feature set and timeline, and let’s get started.
The backend has to be written in Python—FastAPI or Flask is fine—as this will let us plug in OpenAI or similar LLM endpoints without friction. I need clean, well-documented code, unit tests, and a simple way to swap out language-model providers if pricing or policy changes.
On the front end, I picture an intuitive dashboard where students can upload notes, pose questions in natural language, and generate practice quizzes with a click. Whether you go React, Vue, or another modern framework, the interface needs to feel fast and distraction-free on desktop and mobile.
Deliverables
• Python backend with endpoints for summarization, Q&A, and quiz generation
• Responsive web interface connected to those endpoints
• Clear setup scripts, README, and deployment guide (Docker or similar)
• Brief test suite demonstrating each core feature works end-to-end
Acceptance criteria: a new user should be able to spin up the project locally, drop in a PDF or text file, receive a concise summary, ask a follow-up question about the content, and then generate a 10-question quiz—all within one session and without errors.
If you have shipped AI-driven learning tools before, I’d love to see them. Otherwise, outline how you would architect the feature set and timeline, and let’s get started.
Related categories:
Python
Graphic Design
Software Architecture
Machine Learning (ML)
Flask
FastAPI
Natural Language Processing