Scholarly is a multilingual AI-powered academic assistant designed to simplify complex notices, forms, regulations, and academic procedures.
It uses OCR, NLP, and a student-friendly Minecraft-inspired interface to make academic information clear, accessible, and easy to understand for everyone.
This system solves real student problems:
- Difficult English in official academic documents
- Confusing rules, deadlines, and forms
- Errors in submissions
- Missing key information
- Stress around academic procedures
Scholarly extracts important details, summarizes them, and explains everything in a student’s preferred language — instantly.
| Tech | Purpose |
|---|---|
| React | Frontend UI (Minecraft-themed interface) |
| TailwindCSS | Styling with utility classes |
| Node.js / Python | Backend services & API logic |
| SQLite | Lightweight structured data storage |
| HuggingFace Models | NLP for summarization, multilingual Q&A |
| Tesseract OCR | Document & PDF text extraction |
| Docker | Containerized deployment |
| Workflow API | Step-by-step academic guidance engine |
✅ Multilingual Q&A (English, Hindi, Bengali, Odia, Hinglish)
✅ OCR-based reading for PDFs, notices, images, and forms
✅ Document simplification into clear bullet-point summaries
✅ Step-by-step guidance for exams, scholarships, re-evaluation, backlogs & more
✅ Knowledge base with academic rules & FAQs
✅ Minecraft-inspired pixel UI for a friendly learning experience
✅ Context-aware chat
✅ Instant language switch for explanations
✅ Browser extension prototype to simplify academic webpages with no rate limits