telugu

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.

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

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

KisanGPT is an AI-powered voice assistant designed specifically for Telugu-speaking farmers. It provides instant answers to agricultural queries using voice input in Telugu, making advanced farming information accessible even to non-literate users. The assistant offers real-time guidance on crop management, pest control, weather forecasts, and market prices, delivering responses in spoken Telugu for easy comprehension.

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.

Project Title: Local Proverbs & Folk Wisdom Collector Description: A multilingual, AI-powered Streamlit app that collects local proverbs, sayings, and cultural wisdom from Indian communities. Built as part of the Summer of AI 2025 initiative to preserve linguistic and cultural diversity.

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/

🌟 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

🕉️ 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.