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A comprehensive Teaching Assistant app built to streamline educational processes for both students and teachers. The app uses AI to automate grading, provide personalized feedback, and suggest relevant resources. It also includes a chatbot to assist students with queries and a seamless system for homework and assignment submissions.
automatically extracts, summarizes, and analyzes PDF documents using Large Language Models (LLMs). It generates relevant questions and answers based on the document content for smarter understanding.
DocMind AI is a powerful, open-source Streamlit application leveraging LangChain and local Large Language Models (LLMs) via Ollama for advanced document analysis. Analyze, summarize, and extract insights from a wide array of file formats—securely and privately, all offline.
This project lets you analyze a document in two ways: Question Generator: It automatically creates various questions from your document. Memory-Based Chatbot: Ask the chatbot questions about the document, and it will answer using its knowledge of the content.
Analyze uploaded PDFs or images with OCR and LLMs (Google Gemini / OpenAI) to extract structured data and generate styled summary PDFs using a Streamlit UI.
A Streamlit tool for analyzing Information Security Policies by classifying keyword occurrences as "Actionable Advice" or "Other Information" to measure policy effectiveness through the "Keyword Loss of Specificity" metric.
AI-powered educational analytics platform built with Google Cloud's Agent Development Kit (ADK) using multi-agent RAG system to analyze student report cards and generate personalized intervention recommendations
A professional AI-powered resume analysis tool built with Chainlit and RAG (Retrieval-Augmented Generation) technology. This application provides intelligent, context-aware resume feedback by chunking resume content and using vector similarity search for precise analysis.