M

multilingual

AI Expense Tracker is a smart personal finance management application that helps users track, categorize, and analyze their daily expenses using Artificial Intelligence. The application enables users to record transactions, monitor spending habits, and gain valuable financial insights through interactive dashboards and AI-powered analytics.

Unlike traditional expense trackers, this platform uses AI to automatically categorize expenses, identify spending patterns, generate personalized savings recommendations, and answer finance-related queries through a conversational interface. Users can upload receipts, manually enter expenses, or import transaction data for seamless expense management.

The application supports both cloud-based AI models and local AI inference solutions such as Ollama, allowing users to maintain privacy while benefiting from intelligent financial analysis. It also provides a Bring Your Own Key (BYOK) option, enabling users to connect their preferred AI providers using their own API keys.

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

AI-powered scam detection for Indian citizens — multilingual, free, and instant.

AI-powered legal document analyzer for India. Upload any contract or agreement — LegalLens finds hidden clauses, checks against 73 Indian laws, and explains everything in plain language.

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

CivicEye AI is a civic issue reporting and citizen engagement platform that helps users report public problems through AI-assisted workflows, location tracking, and community-driven issue monitoring.

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/

Smart Cab Finder is an AI-powered ride comparison platform that helps users compare fares, estimated arrival times, and ride options across multiple cab providers. The application includes an intelligent AI assistant for ride recommendations, supports Bring Your Own Key (BYOK) integrations, and is designed to support local AI inference through Ollama. To improve accessibility, the platform provides multilingual support in English, Hindi, and Telugu. Built using Python and Flask, the project follows secure development practices with automated testing, CI/CD pipelines, security scanning, and compliance-driven documentation.

Dream2Play AI is an AI-powered platform that transforms natural language prompts into playable games, stories, characters, missions, and worlds with support for cloud AI, local AI inference ( Ollama ), and BYOK.

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.

Memento AI – A CPU-first, offline AI assistant that transforms documents, images, audio, video, and text into structured knowledge using local LLMs, SQLite, and Retrieval-Augmented Generation (RAG), with

DriverOS is an AI-powered driver assistance and safety platform designed for commercial drivers, truck drivers, delivery partners, and fleet operators across India. The platform focuses on driver safety, health monitoring, emergency response, trip management, document storage, and real-time support services.

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-assisted public-sector innovation planning and evidence-backed decision support platform for government teams.

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

AgriDoc is a CPU-first, offline-first web app that helps India's farmers digitize and manage their critical agricultural documents — Pattadar Passbooks, Adangal records, PM-KISAN certificates, Rythu Bandhu slips, and more.

EcoSort AI is an offline-first, CPU-powered web application that transforms unstructured garbage images into structured waste intelligence. Using local AI inference, it identifies waste categories, generates structured JSON reports, and stores results in SQLite for analysis and retrieval. The system works without an internet connection, making it suitable for smart cities, municipalities, campuses, and remote environment

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.

StudentAI - AI-powered RAG chatbot for document analysis and question answering using FastAPI, React, Ollama and Retrieval-Augmented Generation (RAG).