Objective

To develop a platform where students can upload their study notes and instantly get answers to their doubts using Natural Language Processing (NLP) models that extract, understand, and respond based on the content of the notes.

Key Features

 Student Panel:

• Upload study notes in PDF, DOCX, or text formats

• Ask specific questions related to the uploaded notes

• Receive instant AI-generated answers from uploaded content

• View previous questions and responses

• Highlight sections in notes for context-based answers

 Instructor Panel (Optional):

• Review and validate AI-generated responses

• Add additional explanations or corrections

• Monitor common student doubts for insights

 Admin Panel:

• Manage users (students & instructors)

• Monitor system usage and feedback accuracy

• Generate reports on most asked questions and content coverage

• Ensure AI model is updated and accurate with new note uploads

Tech Stack

Workflow (Step-by-Step)

1. Note Upload

• Students upload study notes in supported formats

• Backend stores notes and parses content for processing

2. Text Extraction & Preprocessing

• Extract text from PDFs, DOCX, or scanned images using OCR if needed

• Preprocess text: tokenize, remove stop words, lemmatize, and normalize

• Store processed text in searchable format

3. Question Input

• Students type or voice their doubts/questions

• NLP engine interprets the query, identifies key terms, and context

4. Answer Generation

• Use semantic search (embedding-based) to find relevant content from uploaded notes

• NLP model generates concise and context-aware answers

• Optional: rank multiple possible answers and present the best match

5. Response Delivery

• Display answer to student along with reference section from notes

• Save question-answer pairs for history and review

6. Instructor/Admin Review (Optional)

• Instructors can validate and improve AI-generated responses

• Admin monitors system performance and ensures AI accuracy

7. Optional Advanced Features

• Voice-based question input

• Multi-language support for notes and questions

• Highlight answer locations in uploaded notes for better context

• Analytics for frequently asked doubts to improve content quality