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AI

Offline, CPU-first AI that transforms unstructured documents into structured, searchable data using local language models.

Offline-first, CPU-first AI reader companion that narrates and analyzes stories locally using Ollama and structured feedback JSON.

This is a journaling website made by me, all the related files are in this repo

https://vent-box.lovable.app/

AI Traffic Violation Analytics Platform is a smart web-based system that uses AI and data analytics to monitor traffic, manage vehicle records, detect violations, and visualize traffic data through an interactive dashboard. Built with Python, Streamlit, SQLite, Pandas, and Plotly, it helps improve road safety and supports efficient traffic management. 🚦📊🤖

Smart Secure Examination System - Streamlit based secure online exam platform with examiner dashboard, student exam flow, multilingual support, analytics, results, violation tracking, and anti-malpractice detection.

Smart Blood Donor Network is an AI-powered platform that connects blood donors and recipients efficiently through location-based matching, blood group filtering, and emergency blood request management. The system aims to reduce the time required to find suitable donors and improve access to life-saving blood during critical situations.

An offline-first, CPU-optimized suite of classroom helper tools for teachers and students in low-connectivity areas. Powered by local OCR (PaddleOCR) and local Small Language Models (Qwen 2.5 via Ollama) to automate grading and flashcard generation entirely on a standard laptop

Bank Customer Churn Analysis is a data analytics and machine learning project designed to identify customers who are likely to leave a bank's services. Customer churn is a major challenge for banks, as retaining existing customers is more cost-effective than acquiring new ones. This project analyzes customer demographics, account details, transaction behavior, and banking activity to uncover patterns that contribute to customer attrition. https://bankcustomerchurnanalysis-e2kmshlcvxgulzptfh5h2v.streamlit.app/

Offline-first meeting intelligence powered by local AI.

MissingMedicines AI 🏥💊 MissingMedicines AI is an AI-powered healthcare intelligence platform designed to improve medicine accessibility in government hospitals. The system helps citizens instantly check medicine availability, report shortages, and locate nearby hospitals with required medicines in real-time. The platform combines Artificial Intelligence, OCR technology, live analytics, and interactive healthcare maps to create a transparent and data-driven public healthcare support system. Key Features 📷 OCR-based prescription scanning 🔍 Real-time medicine availability search 🏥 Government hospital medicine tracking 📝 Medicine shortage reporting system 🤖 AI-powered shortage analysis and insights 🌍 Interactive hospital maps with heatmaps 📊 Government healthcare spending analytics 📈 Medicine reach and efficiency scoring 💡 Dynamic dashboards and live stock monitoring Technologies Used Python Streamlit SQLite FastAPI Folium Maps OCR (Tesseract + OpenCV) Pandas Groq AI ReportLab Impact This project aims to reduce unnecessary travel, improve transparency in public healthcare systems, support government healthcare planning, and ensure citizens receive timely access to essential medicines.

Lifeline AI is an AI-powered emergency response platform providing real-time emergency intelligence, ambulance coordination, hospital connectivity, SOS management, and disaster response monitoring.

NyayaBloom is an AI-powered Judicial Intelligence Platform designed to democratize legal knowledge and improve judicial transparency across India. The platform enables citizens, lawyers, law students, researchers, journalists, and judicial professionals to access legal information, understand judicial processes, explore case precedents, and improve legal literacy through a multilingual AI-powered ecosystem. Instead of replacing judges, courts, or legal professionals, NyayaBloom serves as an intelligent legal knowledge assistant that simplifies legal information and promotes informed civic participation.

AI-powered career roadmap generator that creates personalized learning paths, skill requirements, timelines, and free learning resources for students, graduates, and career changers.

StoryMirror CLI is a CPU-first command-line application that transforms unstructured stories into meaningful insights through local AI processing. It provides story analysis, multilingual text-to-speech (TTS), runtime performance metrics, and customizable terminal themes, all while running on a local FastAPI backend.

Designed for offline and resource-efficient environments, StoryMirror performs inference on the CPU without requiring a dedicated GPU, making it suitable for developers, students, and writers who need an accessible AI-powered storytelling tool.

Key Features 📖 Analyze stories from text or files 🎙️ Generate multilingual text-to-speech narration 🎨 Customize the CLI with multiple themes 📊 Monitor CPU usage, memory, and inference performance ⚡ Run entirely on a local FastAPI backend 💻 CPU-first design with no GPU dependency 🌐 Supports offline or local deployment 🚀 Simple command-line interface for quick workflows

MeetingMind is an offline-first, CPU-first AI meeting assistant that turns raw meeting transcripts into structured summaries (agenda, attendees, decisions, action items, deadlines, open questions, notes), built with React 19 + Vite + TypeScript on the frontend and Python Flask + SQLite on the backend. It runs entirely locally without cloud LLM APIs, using a modular AIAdapter that currently mocks responses but is designed for drop-in llama.cpp integration (for summarization) and whisper.cpp (for offline audio transcription), so it works on consumer CPUs with full data privacy and no internet dependency.

CivicTruth is a Retrieval-Augmented Generation (RAG) platform that enables transparent, citation-backed question answering over legislative and policy documents.

Live Link: https://clinik-ten.vercel.app/

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.

SmartSave is an AI-powered multilingual expense tracker that helps students build better financial habits through analytics, gamification, and local AI assistance.