| title | StudyFlow AI |
|---|---|
| emoji | 📚 |
| colorFrom | green |
| colorTo | purple |
| sdk | static |
| app_file | index.html |
| pinned | false |
| license | mit |
| short_description | A private, personalized AI study copilot. |
StudyFlow AI is a private study copilot built around the materials students already use: handwritten notes, lecture slides, PDFs, calendars, flashcards, and reminders.
The current release is an interactive frontend prototype centered on Josephine Wendland, a multilingual teaching student from Mainz. Backend, OCR, local model, and retrieval integrations will be added next.
- Personal daily briefing and schedule
- Material upload and OCR review interface
- Connected slide, note, and AI study canvas
- Calendar and personalized learning plan
- Knowledge-gap review
- Flashcard editing and export flows
- Quiz simulation and reminders
- Local-first privacy messaging
No build step is required.
node server.jsThen open http://localhost:4173.
Python can also serve the static prototype:
python -m http.server 4173assets/
hero/ Generated Josephine illustration
materials/ Sample note, slide, and calendar imagery
docs/design/ Reference concepts, QA, reviews, and design history
tools/ Local design and review utilities
app.js Application views and interactions
index.html Static Space entry point
styles.css Responsive visual system
server.js Tiny local development server
The same Git history is pushed to:
- GitHub: source repository and development history
- Hugging Face Spaces: live static prototype
Commits created with Codex include an explicit Codex co-author trailer.
The frontend will later be migrated to a Gradio/FastAPI-backed application with OCR, document linking, local retrieval, study-plan generation, and notification workflows.