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Civic Problem Prioritization AI is an intelligent complaint management platform that helps urban local bodies and citizens collaboratively identify and address city infrastructure issues. It leverages AI-powered categorization to automatically classify civic complaints, maps them geospatially using OpenStreetMap, and prioritizes them based on urgency, frequency, and impact — enabling faster, data-driven decision-making for city administrators in resolving real-world urban problems.

An AI-driven civic tech ecosystem that replaces high-cost consulting with automated business intelligence. The platform features four core pillars:

Incentive Discovery: A profile-matching engine for business schemes. Loss Calculator: Converts eligibility into concrete numbers (e.g., "You are losing ₹12.5L over 3 years") to drive immediate action. AI Rejection Explainer: Allows users to upload a rejection letter/screenshot, translating bureaucratic jargon into a plain-English "Fix Checklist." MSME Exclusion Detector: A policymaker dashboard that tracks registration vs. application rates, highlighting high-exclusion zones on a visual map for targeted governance.

Deepdive AI is a research assistant and makes pdfs and powerpoint presentation for a given topic.

LocalSlate is an offline-first, CPU-optimized AI incident processing system that converts unstructured text, audio, and voice reports into structured actionable data using a FastAPI backend, local AI workflow, and MySQL persistence.

https://hydrolink-iota.vercel.app/

An open-source, modular public transport routing engine built with Python 3.13+. It abstracts external transit APIs behind a resilient service layer to compute efficient multi-modal routes with integrated caching and strict compliance.

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.

MedStruct AI is an offline AI-powered medical document structuring system that extracts structured information from prescriptions using OCR and local LLMs.

Recruiters deal with hundreds of unstructured resumes in PDF and Word formats. Extracting consistent, comparable data requires expensive cloud AI APIs or tedious manual effort. This project proves that a local, quantized small language model (SLM) running on a commodity CPU can do the same job — privately, cheaply, and completely offline.

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.

LocalVital turns your messy health diary into a structured, private, queryable dataset — entirely on your device, no internet required.

Scan any invoice or bill image — AI extracts the data, builds your financial dashboard. Fully offline. CPU only.

AgriGuard AI is an AI-powered, offline crop disease detection and agricultural advisory system that uses computer vision and deep learning to identify crop diseases from images, estimate disease severity, and provide treatment and prevention recommendations. Designed for farmers and agricultural professionals, the system operates without an internet connection, ensuring reliable field deployment in remote areas while promoting sustainable and precision agriculture

this is a offfline software runs on ollama

Chalo Miya! is an AI-powered Hyderabad travel companion that helps users discover places, build personalized itineraries, and explore the city's rich culture with intelligent recommendations.

AI-powered receipt management system that extracts, organizes, and securely stores receipt information using OCR and LLM technologies.

AI-powered PDF RAG Chatbot built with Streamlit, LangChain, FAISS, and Google Gemini for intelligent document question answering.

LedgerLens Drop in a photo or PDF of a receipt/invoice and get clean, structured ledger data — merchant, date, tax/GST, line items, and total — as JSON, exportable to CSV. Runs entirely on CPU and works with the network switched off.

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.

LocalVital turns your messy health diary into a structured, private, queryable dataset — entirely on your device, no internet required.