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Projects with this topic

  • 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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  • A creative Telugu dream journaling web app that allows users to write, rewrite, tag, and share dreams in poetic or story formats.

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  • మన ఆటలు (Mana Aatalu) - A Digital Treasury of Indian Childhood Games మన ఆటలు (Mana Aatalu) is a community-driven web application designed to document, preserve, and celebrate the traditional childhood games of India. In a world where digital entertainment is taking over, we are creating a digital treasury to ensure these vital parts of our cultural heritage are not forgotten.

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  • SmartScan Attend is a real-time, intelligent classroom attendance solution built with Streamlit, SQLite, and Python. Designed specifically for educational institutions, this system minimizes manual work for faculty and ensures accurate, secure attendance collection using IP-restricted QR code verification.

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  • AI-powered exploration and visualization of ancient Indian texts using NLP and image colorization.

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  • MindMate is an open-source AI-powered assistant designed to support mental wellness through empathetic and non-judgmental conversations. Built on Hugging Face Chat Assistants with meta-llama/Llama-3-70B-Instruct as the base model, it provides mindfulness suggestions, stress management tips, and gentle motivational prompts. The goal of MindMate is to create a safe, conversational space where users can find support for stress, anxiety, and emotional challenges, while maintaining privacy and open-source transparency.

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  • BakBak-Bot

    BakBak-Bot is an advanced conversational AI assistant built for linguistic research, machine learning training, and digital archiving purposes. The bot leverages natural language processing (NLP) to understand and respond to user queries in multiple languages, making it an ideal tool for researchers, educators, and developers working on language technologies.

    Key Features Multi-language Support: Communicate in various languages Intelligent Conversations: Context-aware responses using NLP Research-Oriented: Designed for linguistic analysis and data collection Digital Archiving: Store and retrieve conversation data efficiently Extensible Architecture: Easy to customize and extend functionality
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  • A stylish Python + Streamlit chatbot with gradient avatars, multiple moods (Friendly, Formal, Sassy), and basic Q&A support. Perfect for beginners to explore interactive AI chat UIs.

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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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  • An open-source AI assistant designed by Nandini Golla using Hugging Face. ShaktiAI helps girls and students by providing friendly guidance, motivation, and emotional support through natural conversation.

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  • Chitra Vani is an AI-driven platform for generating and managing images and media content using intuitive interfaces and automated tools.

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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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  • “Mana Ruchulu is a Telugu recipe assistant web app that helps users search, view, and explore traditional recipes.”

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  • An AI-powered assistant designed for medical camps that streamlines patient appointment booking and schedule management while simultaneously preserving Telugu culture and heritage. Built with Streamlit frontend, FastAPI backend, and Gemini API, the app enables healthcare efficiency and cultural data collection, creating a digital archive of proverbs, traditions, and stories.

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  • The Image Captioning project is an AI-based system that automatically generates textual descriptions for images. It combines computer vision and natural language processing (NLP) techniques to understand the content of an image and produce a human-readable caption.

    The system uses deep learning models, typically a Convolutional Neural Network (CNN) for extracting image features and a Recurrent Neural Network (RNN) or Transformer-based model for generating sentences. This enables applications such as assisting visually impaired users, enhancing image search engines, and automating social media content tagging.

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  • Personal portfolio showcasing my skills in full-stack development, cloud computing, data analytics, and AI projects

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  • A family recipe sharing app built with Python for managing and sharing recipes across family members.

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