ScholarSnap

Students often rely on handwritten notes or scanned materials, but:

• They forget what's inside them.

• Searching through messy handwriting or scanned files is frustrating.

• Extracted text is unstructured and difficult to use.

• Summarizing or understanding key concepts takes time and effort.

ScholarSnap combines OCR and AI/NLP to offer a smarter study experience:

• Converts scanned or handwritten content into structured, clean digital notes.

• Detects key topics and auto-generates helpful tags.

• Summarizes entire chapters or sections into digestible points.

• Lets you ask questions about your notes — ChatGPT-style Q&A from your own content.

Frontend/UI: Streamlit (Interactive web interface)

Backend Logic: Python (Core logic for OCR, NLP, UI integration)

AI/NLP: Transformers (facebook/bart-large-cnn) for summarization, citation extraction, tagging

OCR: pytesseract, PyMuPDF (fitz) for text extraction from images and PDFs

PDF Export: fpdf (Generates structured, downloadable PDFs)

File Handling: base64, Streamlit uploader (Upload, process, and download support)

Deployment (Planned): Streamlit Cloud / Hugging Face Spaces

1. Upload a handwritten note, scanned image, or PDF file.

2. The app uses OCR to extract raw text from the input.

3. NLP modules process the content to detect topics, generate tags, and summarize.

4. Interact with your notes via a chatbot-style Q&A interface.

• Study smarter with AI-generated summaries and key points.

• Convert handwritten class notes into clean digital notes.

• Search and explore large scanned documents easily.

• Get instant answers to questions based on your notes.