Projects with this topic
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A RAG-based chatbot application designed to provide accurate information regarding government schemes.
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Offline-first, CPU-first AI reader companion that narrates and analyzes stories locally using Ollama and structured feedback JSON.
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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.
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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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Offline-first lecture transcription and structured study data extraction CLI/PWA.
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An AI-powered bilingual assistant helping citizens discover government welfare schemes they're eligible for and draft RTI requests. Uses RAG with Google Generative AI, voice input, and real-time eligibility checking for Telangana and India-wide schemes.
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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.
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EndGame RAGHub is a scalable multimodal Retrieval-Augmented Generation platform supporting document, image, audio, and video understanding using FastAPI, Qdrant, LangGraph, and modern open-source AI infrastructure.
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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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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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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 workflowsUpdated -
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Our assistant addresses the challenge of navigating fragmented and massive match data from the IPL 2026 season. Currently, cricket fans and analysts struggle to extract specific match statistics or venue-specific performance metrics from raw CSV datasets without advanced data analysis tools.
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StudentAI - AI-powered RAG chatbot for document analysis and question answering using FastAPI, React, Ollama and Retrieval-Augmented Generation (RAG).
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AI-powered PDF RAG Chatbot built with Streamlit, LangChain, FAISS, and Google Gemini for intelligent document question answering.
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Student Study Planner is a Streamlit-based application that enables students to organize their studies efficiently through subject and task management, automated study planning, progress analytics, AI-powered study assistance, and English/Telugu language support.
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Lightweight local-first RAG chatbot built with Streamlit, Ollama, ChromaDB, SQLite, and local quality checks.
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Local-First Document Q&A with RAG using Ollama — Find-Retrieve-Answer pattern
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A Retrieval-Augmented Generation (RAG) chatbot built with Streamlit, LangChain, FAISS, and sentence-transformers. Upload PDFs and ask questions using Gemini or local Llama.cpp LLMs.
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