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MitraBot – Student & Community Corpus Assistant. Helps students manage timetables, exams, notes, and community contributions (proverbs, recipes, stories).

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.

A community-driven Streamlit application for collecting a corpus of Telugu cultural data, with a focus on food and culinary heritage.

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

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.

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

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

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

TailorMyCV: An AI-powered resume and cover letter generator that helps job seekers beat ATS filters, get shortlisted, and showcase their true skills.

Basha Kahani

Basha Kahani is a storytelling web application that allows users to create, share, and explore short stories in an engaging and user-friendly way.

🔹 Features:

Add and publish your own stories.

View stories shared by other users.

Interactive UI with smooth navigation.

Built with modern web technologies for performance and scalability.

🔹 Tech Stack:

Frontend: React.js (with TailwindCSS for styling)

Backend (if applicable): Node.js / Express.js (or API integration)

Database (if applicable): MongoDB / Firebase / JSON-based storage

🔹 Project Goals: The main goal of this project is to provide a creative platform where users can express themselves through stories. It is designed to be simple, lightweight, and easy to use, while also serving as a learning project to practice React, component-based design, and UI/UX development.

This project is to store our heritage dishescoming from our forefathers

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.

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.

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.

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.

Desi Proverbs & Local Lore Collector is a lightweight, mobile-friendly Streamlit app to collect Indian proverbs, folk sayings, and cultural facts across languages. It auto-detects language, stores structured metadata (language, region, tags), and exports a clean corpus for research and cultural preservation. Built for low-bandwidth users, deployable on Hugging Face Spaces, and designed with an offline-first approach.

A streamlit web application to collect, share, and display stories related to various cultural festivals

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.