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ShikshaSaarthi – AI-Powered Teaching Companion for Indian Classrooms 🇮🇳

Hackathon Submission: Pragati AI for Impact Hackathon 2025

🚀 Project Overview

ShikshaSaarthi is a multilingual AI-powered assistant designed to support teachers in low-income and government schools. It enables real-time identification of student learning gaps, personalized content generation in regional languages, and continuous professional development — all within offline, low-resource environments.

🎯 Problem Statement

Teachers in India's government and low-income schools face overcrowded classrooms, diverse learning levels, limited teaching materials, and lack of support. Our solution empowers teachers with an AI tool that adapts to their unique classroom needs without replacing their expertise.

🌟 Key Features

  • Real-time student learning gap detection
  • Multilingual content generation in regional languages
  • Personalized teaching materials for varied learning levels
  • Offline-capable & low-resource device friendly
  • Professional development assistant for teachers
  • Voice support & simplified UI for accessibility

🧠 Technology Stack

Python, Hugging Face Transformers, PyTorch, TensorFlow, FastAPI, Flask, Streamlit, React, HTML, CSS, Pandas, NumPy, SQLite, Firebase, TTS APIs, ONNX, LangChain, LlamaIndex, Docker, Progressive Web App (PWA)

🧩 Folder Structure

/ShikshaSaarthi │

├── README.md # Project overview

├── /src # Core app and AI scripts

├── /assets # Wireframes, diagrams, mockups

├── requirements.txt # Python dependencies

└── LICENSE

🎨 UI/UX & Mockups

Check out the /assets folder for wireframes, use-case diagrams, and tech architecture visuals.

🤝 Team

  • Joshitha Chennamsetty
  • Dara Raju

💡 Inspiration

Our passion for inclusive education and past experience in AI for Impact Hackathon 2024 inspired us to build something practical, scalable, and respectful of India's diverse educational ecosystem.

📌 Status

Currently in early development. Prototypes, code modules, and deployment scripts coming soon!

📜 License

MIT License

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