Projects with this topic
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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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Local Streamlit RAG research assistant for querying uploaded and preloaded documents with Ollama, LangChain, and ChromaDB.
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Solaria is an AI-powered media analyzer that processes images, audio, and documents through a vision API to generate descriptive titles, detailed descriptions, and categorization. Built as a lightweight, client-side web application with a modern drag-and-drop interface, it supports batch processing and allows users to iteratively refine results with optional hints before exporting structured JSON output.
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AI-powered Sign Language Translator that converts sign language gestures into text and speech using Computer Vision, MediaPipe, and Machine Learning.
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The AI-Powered Mental Health Chatbot is an advanced, conversational AI solution designed to assist individuals in managing their mental health and well-being. Leveraging Natural Language Processing (NLP) and machine learning algorithms, the chatbot provides personalized support, coping mechanisms, and resources to users experiencing stress, anxiety, depression, or other mental health concerns. It offers a confidential, non-judgmental space for users to express themselves and receive actionable advice based on the context of their input.
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Utsav Kathalu is a web application built with Streamlit for collecting and organizing festival stories in multiple Indian languages. Users can submit stories as text, attach images for each section, and view the content as an interactive virtual book. The platform aims to preserve and present cultural narratives in a structured and user-friendly format.
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Telugu Thodu is a full-stack web application built with React (frontend) and Node.js/Express (backend) that generates Telugu words starting with a user-supplied Telugu letter by calling the Gemini API. Generated results are saved to MongoDB for history and analytics. The app provides a polished, responsive UI, input validation for Telugu characters, and secure handling of the Gemini API key via environment variables.
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This project is a real-time voice translator web application built with Streamlit. It captures live speech input via microphone, recognizes the spoken text using speech recognition, translates it to a selected target language via machine translation, and plays back the translated audio using text-to-speech synthesis. The app supports multiple languages, provides start/stop controls for continuous conversation flows, displays original and translated text, allows editing of transcriptions, and enables exporting of recordings and analysis. It aims to facilitate accessible, multilingual communication and contribute to language corpora for research purposes.
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HealthLink AI is an intelligent health assistance web application designed to provide quick, reliable, and AI-driven health information. Built using Streamlit and powered by Google’s Gemini API, the platform allows users to describe symptoms, ask about medications, and even upload medical images for analysis. It offers personalized first-aid guidance, medicine usage details, and preliminary insights from image-based diagnostics—all in a user-friendly interface. While not a replacement for professional care, HealthLink AI serves as an accessible first step for individuals seeking health-related answers online.
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A family recipe sharing app built with Python for managing and sharing recipes across family members.
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An open-source, AI-powered application for preserving and sharing Telugu proverbs and their meanings. Built with Streamlit, it allows users to crowdsource proverbs, view a public gallery of sayings, and uses an AI model for automated classification of proverbs by theme.
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Doc Bot – AI Doctor Assistant is an interactive chatbot that provides doctor-style suggestions based on user-described symptoms. Built with Streamlit for a responsive and user-friendly interface, it integrates with the Dify.ai API to generate natural language responses. This project was developed as part of an internship at Swecha Telangana.
⚠ ️ Disclaimer: Doc Bot is for educational and informational purposes only and does not provide professional medical advice.Updated -
Local Proverbs Collector is an open-source, AI-powered application that helps preserve and celebrate traditional Indian proverbs across multiple languages and dialects. The app allows users to contribute proverbs through text or voice, automatically transcribing speech, translating into other languages, and optionally reading them aloud using Text-to-Speech.Optimized for rural and low-connectivity areas, it supports offline-friendly usage, light/dark mode, and a gamified experience with leaderboards, streaks, and voting.All data is stored in structured JSON format for easy research, analysis, and integration into AI language models ensuring India’s oral heritage is preserved for future generations.
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A Streamlit-based music library application that allows users to browse, search, and stream audio tracks according to thier mood and also it is an otp sign in thing where it is integrated with swecha apis. Built with Python and Streamlit, designed for fast deployment.
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An AI-powered health assistant that provides probabilistic health insights, medication reminders, and a critical emergency triage system. Built on Firebase with a focus on data privacy.
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AI-MOCK-INTERVIEW is an advanced, AI-powered platform designed to help job seekers practice and enhance their interview skills through realistic mock interviews. The platform leverages AI technologies, including natural language processing (NLP), machine learning, and computer vision, to simulate technical and behavioral interviews tailored to the user’s experience level and job role. It features dynamic question generation, real-time performance evaluation, speech and video analysis for verbal and non-verbal feedback, and detailed actionable insights to boost candidate confidence and readiness. Built with modern frameworks and tools, this project offers a scalable and interactive approach to preparation, suitable for candidates at various career stages.
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Resume Analyzer is an open-source tool built with Python that analyzes resumes using NLP and ML. It extracts skills, education, and experience, then matches them with job descriptions to generate similarity scores and recommendations for recruiters and job seekers.
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A Streamlit web application for showcasing Telugu literature content interactively.
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