Projects with this topic
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JanaSeva AI
JanaSeva AI is an AI-powered citizen assistance platform designed to simplify access to government services. Instead of searching through multiple websites, users can ask questions in natural language and receive step-by-step guidance, required documents, eligibility details, and official government resources for services such as Aadhaar, PAN Card, Voter ID, certificates, scholarships, and welfare schemes. The system reduces information overload and makes government services more accessible, especially for first-time users.
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An AI-powered offline disaster relief intelligence system that enables emergency communication, resource management, and situational awareness in low-connectivity environments using machine learning and local data processing.
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F2P Solver extracts mathematical formulas from PDF research papers and converts them into interactive Python simulations — entirely offline, on CPU. Upload a paper, and for every formula you get a callable Python function plus a live chart with sliders for each variable: drag a slider and the curve updates instantly, with no further AI calls. Built with Streamlit, pymupdf, ollama (Qwen2.5-7B), numpy, and Plotly. Runs on any Linux/macOS machine with a single command: ./run.sh.
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DocWise is a Python-based document processing and automation system.
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LectureLens is a secure, localized, multi-modal ingestion pipeline that transforms raw educational assets into structured, high-retention study matrices. Built entirely on an offline-first philosophy, the system intercepts dense lecture audio streams and multi-page technical PDFs, running them through an isolated edge-computing layer to generate interactive flashcards, core concept maps, and dynamic glossaries without leaking sensitive user data to third-party cloud vectors.
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Our assistant addresses the challenge of navigating fragmented and massive match data from the IPL 2026 season. Currently, cricket fans and analysts struggle to extract specific match statistics or venue-specific performance metrics from raw CSV datasets without advanced data analysis tools.
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Local AI: Offline Meeting Intelligence System is a CPU-optimized, offline-first application that transforms unstructured meeting audio recordings into structured and actionable data. Using Faster-Whisper for local speech transcription and Qwen2.5 GGUF via llama.cpp for information extraction, the system converts audio files into structured JSON containing meeting summaries, topics, action items, and next steps. All processing is performed entirely on the user's device without internet access or GPU acceleration, with results stored locally using SQLite and displayed through an interactive Streamlit dashboard.
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This project is an offline-first, CPU-only AI app that converts unstructured inputs like documents or images into clean structured data locally on the user’s device. It uses local OCR, small on-device models, and SQLite storage to extract key details, validate them, and help users quickly turn messy files into usable records without needing the internet.
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KakeiboAI is an AI-powered personal finance companion inspired by the Japanese Kakeibo methodology. It tracks expenses, build mindful spending habits, and helps to achieve savings goals through reflection and insights. It also analyses your spending patterns and provides suggestion on how to improve them.
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Offline-first CPU AI study assistant that converts PDFs, images, audio, and text into structured SQLite knowledge.
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StudentAI - AI-powered RAG chatbot for document analysis and question answering using FastAPI, React, Ollama and Retrieval-Augmented Generation (RAG).
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Water Issue Tracker - Civic complaint system using Streamlit
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Exam Hub is a TypeScript based online examination management system used to create, manage and conduct exams.
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AI-powered PDF RAG Chatbot built with Streamlit, LangChain, FAISS, and Google Gemini for intelligent document question answering.
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Multimodal RAG chatbot supporting PDF, Word, text, and image QA using Gemini and ChromaDB.
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A multi-lingual dynamic global travel planning application with decentralized local AI execution routines.
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