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Projects with this topic

  • Streamlit assistant for classifying Hyderabad civic issues, routing complaints, and drafting formal civic complaint letters.

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  • NyayaSetu is an AI-powered Citizen Rights and Civic Governance Assistant that helps users understand laws, civic services, RTI procedures, and government schemes using Retrieval-Augmented Generation.

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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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  • Farmin.AI is an AI-powered assistant designed to help farmers with intelligent crop advisory, disease detection using image analysis, and farm record management. Built with a user-friendly Streamlit interface, it simplifies agricultural decision-making using modern technologies like machine learning, natural language processing, and data-driven insights. Ideal for small to medium-scale farmers aiming to boost productivity and sustainability.

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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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  • LokKala is a lightweight, open-source Streamlit web app for collecting folk stories, proverbs, and meme captions in Indian languages. It works offline and contributes to building culturally diverse AI datasets for the viswam.ai mission.

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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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  • Telugu Farmer Assistant is a free, AI-powered platform for farmers in Telangana and Andhra Pradesh. It provides crop disease diagnosis, soil-based crop planning, and real-time weather updates — all in Telugu language, with an offline-first design for accessibility.

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  • AI/ML-based tool that predicts the likelihood of diabetes using medical parameters such as glucose, BMI, age, and blood pressure.

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  • AI-powered platform for collecting and analyzing multilingual cultural narratives from global communities, built with Streamlit and Python.

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  • BharatVivid deployment project for managing configurations, CI/CD pipelines, and automated deployments. Ensures smooth integration, testing, and release management within the Swecha ecosystem.

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  • Hyderabad Food AI Assistant The Hyderabad Food AI Assistant is an intelligent and interactive tool designed to help users discover and get information about food in Hyderabad. It serves as a conversational assistant for exploring the city's diverse culinary landscape, providing details on restaurants, specific dishes, ratings, prices, and more.

    The assistant is built with a hybrid search architecture to ensure both speed and flexibility. It first attempts to answer a user's query by searching a structured CSV file (hyderabad_menu_100.csv). This approach is highly efficient for specific, data-driven questions. If the structured search does not yield any results, the system intelligently falls back to a large language model (Flan-T5) to provide a more general, conversational response.

    The application is built using the Streamlit framework, providing a clean and easy-to-use web interface for users to interact with the assistant. The core logic is encapsulated within the

    FoodAssistant class, which manages the seamless transition between the CSV-based search and the LLM fallback. This architecture ensures that the assistant is always able to provide a helpful response, whether the information is contained in its local data or requires broader AI knowledge.

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  • A cryptocurrency price prediction system using LSTM neural networks. Groups coins by market dynamics and forecasts future prices for investors and traders.

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  • SwechaBot: A conversational AI chatbot built with Streamlit, Hugging Face Transformers, and Torch

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  • A Telugu Proverbs Chatbot built with Streamlit and SQLite to explore and preserve traditional Telugu Proverbs.

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  • The English-to-Telugu Translator is a web-based application that allows users to easily translate text from English into Telugu. It leverages advanced language processing techniques to provide accurate and context-aware translations, helping users understand and communicate in Telugu more effectively.

    Key Features:

    Translate English text into Telugu instantly. User-friendly interface for easy input and output. Supports short phrases as well as long paragraphs. Can be extended to include text-to-speech for Telugu translations. Useful for students, professionals, and anyone learning Telugu.

    Technology Stack:

    Frontend: HTML, CSS, JavaScript (or Streamlit/Gradio for a simple UI) Backend: Python with translation libraries or APIs (e.g., Google Translate API, Indic NLP library) Optional: Speech synthesis for reading translated text aloud

    Use Case: This tool can help language learners, travelers, or professionals who need quick and reliable English-to-Telugu translations, making communication more effective and accessible.

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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.

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  • 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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  • Project Description An AI-powered Healthcare LLM designed to assist visually impaired (blind) individuals. The system provides accessible medical guidance through natural language processing, voice interaction, and context-aware support. This project aims to enhance healthcare accessibility, improve independence, and empower blind users by bridging the gap between medical knowledge and inclusivity.

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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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