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

Two-sided roadside assistance marketplace prototype (Flutter Web + FastAPI Backend)

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

this is the project about health care

The compliance checker is failing the Metadata → Description check. Could you please add a project description in GitLab project settings?

Suggested description:

"Economic Intelligence Platform for collecting, analyzing, and visualizing Indian economic news using Streamlit, AI-assisted analysis, and RAG-based search."

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.

Voice-based AI salary negotiation simulator. Practice high-stakes negotiations against a stateful Gemini AI opponent with hidden BATNA, trust, tension and patience. Built with FastAPI + React + Vite.

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

this is a offfline software runs on ollama

Offline Medical Report Structurer

Project Description

Offline Medical Report Structurer is an AI-powered healthcare application designed to transform unstructured medical reports into organized, structured, and easy-to-understand data without requiring an internet connection. The system processes medical documents such as laboratory reports, prescriptions, discharge summaries, and diagnostic reports, automatically extracting key information including patient details, diagnoses, medications, test results, and clinical observations.

By leveraging Natural Language Processing (NLP) and document parsing techniques, the application converts complex medical text into a standardized format that improves accessibility, readability, and data management. Since the solution operates entirely offline, it ensures patient privacy, data security, and usability in low-connectivity environments such as rural clinics, hospitals, and healthcare camps.

Key Features

Offline processing with no internet dependency Automated extraction of medical information Structured JSON/database output for easy integration Support for multiple medical report formats Secure and privacy-focused data handling Quick search and retrieval of patient information User-friendly interface for healthcare professionals

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.

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

This project is about the noise pollution. This project helps people stay safe from the areas where noise pollution are more than 70DB, which is directly dangerous for the people who has the issues with noise. This project focuses about the real time problem of noise in Hyderabad.

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

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.

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.

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.