Projects with this topic
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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/
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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.
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Kisan Mitra AI is an AI-powered multilingual farming assistant that helps farmers with crop recommendations, disease detection, weather updates, market prices, and government scheme information.
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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
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Offline-first, CPU-optimized AI platform that transforms unstructured documents into structured, searchable data using local OCR, embeddings, llama.cpp, FAISS, and SQLite—no cloud inference or external APIs required.
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Open-source crowdsourced wildfire and smoke tracking dashboard built for communities.
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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.
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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.
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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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Offline Resume Parser is an offline-first, CPU-optimized AI application that converts unstructured PDF resumes into structured, machine-readable candidate profiles entirely on the user's device. The platform performs document extraction, AI-powered information extraction, validation, and local storage without relying on cloud services or internet connectivity.
Built with React, Vite, FastAPI, SQLite, PyMuPDF, Pydantic, and a locally hosted Small Language Model (SLM) via llama.cpp, the application provides a secure, privacy-preserving solution for recruiters and organizations handling sensitive hiring data. Its modern, responsive interface enables users to upload resumes, view extracted candidate information, browse resume history, and export structured JSON, all while running efficiently on standard CPU hardware.
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ResearchLens is a research support and academic consulting project that helps students, researchers, M.Tech scholars, and PhD candidates throughout their research journey. The platform provides guidance on thesis writing, research paper preparation, journal publication (including Scopus and SCI-indexed journals), literature reviews, synopsis development, and academic documentation. Its goal is to simplify the research process and help scholars produce high-quality, publication-ready work.
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AI-powered decision simulation platform — multi-expert adversarial debate with real-time streaming, structured scoring, and AI-synthesised verdicts. Built for the Swecha Internship Hackathon.
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RideSync is a full-stack ride-sharing web application that connects drivers and passengers traveling in the same direction, helping users reduce travel costs, save time, and promote sustainable transportation.
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JalRakshak – Smart Water Leak Reporting System
JalRakshak is an AI-powered civic technology platform designed to help citizens report water leaks, pipeline damages, and water wastage incidents in real time. The system enables users to submit reports with location details, images, and descriptions, while helping authorities efficiently monitor, prioritize, and resolve water-related issues.
The platform incorporates intelligent features such as duplicate report detection, location-based issue mapping, automated prioritization, and analytics dashboards to improve response efficiency and reduce water loss. By creating a direct communication channel between citizens and municipal authorities, JalRakshak promotes community participation in water conservation and urban infrastructure management.
Key Features:
Real-time water leak and wastage reporting GPS-based location tracking and mapping Image upload and issue documentation Duplicate report detection and merging Priority-based issue management Administrative dashboard for monitoring and resolution Analytics and reporting for decision-making Secure, scalable, and open-source architectureJalRakshak aims to support sustainable water management, enhance civic engagement, and assist local governments in addressing water infrastructure problems quickly and effectively.
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GalliSwad is a robust street food discovery platform built with FastAPI and React.
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AI-powered chatbot application with React frontend and Node.js backend for interactive conversations
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TailorMyCV: An AI-powered resume and cover letter generator that helps job seekers beat ATS filters, get shortlisted, and showcase their true skills.
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