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telugu

Projects with this topic

  • 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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  • 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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  • This is the Bilingual AI powered chatbot that I developed as a part of the Summer of AI internship task.

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  • AI-powered chatbot application with React frontend and Node.js backend for interactive conversations

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  • Ruchulu Lens AI

    Ruchulu Lens AI is a cross-platform AI-powered application that celebrates India's regional food diversity. The app offers:

    Regional Food Explorer – Shows local dishes based on user location, revealing region-specific ingredients, cooking styles, and preparation. Lens Feature (Food Recognition) – Users can upload or capture an image of a dish, and the AI will it and provide ingredients, recipe steps, and cultural context. AI Culinary Assistant – Interactive assistant to answer cooking-related questions, suggest dietary plans, offer substitutions, and guide users through cooking.
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  • The Multi-Source Content Summarizer is an AI-powered web application that extracts and summarizes content from YouTube videos and websites. Using the Llama-70B model through Groq API, this tool generates customizable summaries with additional features like mind maps, text-to-speech, and an interactive chat interface. Link to Project: https://pavans219.github.io/SummarAIze.github.io/

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  • 🌟 VakyaVibe.ai – Indian Language Corpus Collection Platform VakyaVibe.ai is an open-source, community-powered web application designed to preserve and celebrate India's rich linguistic and cultural heritage. It serves as a multilingual Corpus Collection Engine, enabling users to contribute and explore proverbs, slang words, and tongue twisters across 10+ Indian languages and dialects.

    🚀 Features 🌐 Multilingual Support – Hindi, Telugu, Tamil, Bengali, Marathi, Gujarati, Kannada, Malayalam, Punjabi, Odia, and more

    🤖 AI-Powered Intelligence – Mistral AI (primary), OpenAI (fallback), Ollama (local)

    🗳️ Community Contributions – Submit, vote, and categorize cultural expressions

    📊 Admin Dashboard – User stats, language analytics, CSV/JSON export

    🤗 Hugging Face Integration – Dataset sync, backup, and model-ready formats

    📱 Modern UX – Mobile-friendly, offline-first, PWA, dark/light modes

    🔐 Data Governance – Validation, version control, and privacy safeguards

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  • 🕉️ Mandir__Mithra – AI-Powered Temple Guide

    A bilingual (English + Telugu) chatbot that guides users through sacred temples of Telangana & Andhra Pradesh.

    Features:

    🏛️ 20+ temples with history, architecture, images 💬 Interactive chatbot interface 🌍 AI-powered: Fetches real-time facts from Wikipedia 🔊 Text-to-Speech in Telugu & English 🚀 Static web app deployed on Hugging Face

    Built as part of SOAI 2025 internship.

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