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Hey everyone here I,ve used streamlit along with langchain integrated with cohere api so that this application summarises the textual input given to it

IMDB Movie Review Sentiment Analysis

A machine learning project that performs sentiment analysis on IMDB movie reviews. Uses scikit-learn for text processing and classification to determine whether reviews are positive or negative.

A simple movie recommendation system built using Python and machine learning.

This Streamlit app is an All-in-One AI Assistant that uses Google's Gemini API to perform various tasks in one place. It provides an interactive, user-friendly interface for chatting, summarization, translation, and more — making it a versatile learning and productivity tool.

A chatbot project built using Blenderbot, allowing interactive AI conversations. Supports local setup and customization.

Translator is a real-time language translation application built using the MERN stack (MongoDB, Express.js, React.js, Node.js). The app provides seamless language translation capabilities, allowing users to input text and receive translations instantly. It integrates the Gemini API for accurate and fast translations across multiple languages.

The primary objective is to develop machine learning models capable of assisting in early detection and accurate diagnosis of these conditions based on patient data.

A simple Python number guessing game.

MacroMate is a nutrition tracking app with macros calculation and insights.

“A chatbot project built with Python to demonstrate conversational AI capabilities.”

Parampara AI is a Streamlit-based platform that helps preserve India's oral and cultural heritage by using AI to digitize spoken knowledge. From rural artisans to indigenous storytellers, users can upload audio in regional languages (like Telugu), and the platform will transcribe, translate, and summarize the content into structured, accessible digital formats.

Jeevitham (meaning Life in Telugu) is a community-driven initiative aimed at building sustainable digital tools that address real-world social, environmental, and livelihood challenges. The project focuses on empowering people with open-source solutions that can be adapted for local needs.

🌱 Vision

To create technology that enhances human life, respects cultural diversity, and ensures sustainability for future generations.

🎯 Objectives

Develop open-source applications that promote sustainability and well-being.

Preserve and integrate local knowledge systems with modern digital platforms.

Provide tools for data collection, visualization, and decision-making in communities.

Encourage collaboration among students, developers, and citizens for social impact.

🔑 Features (example directions — adapt as per your actual files)

📊 Data Logger & Analyzer – record and analyze data (health, environment, livelihood).

🌍 Localization – tools and content in local languages (Telugu + others).

🗂 Templates for Collaboration – pre-built templates for issue tracking and merge requests.

💡 Extensible Design – easy to add new features based on community needs.

🛠️ Tech Stack

Frontend: HTML, CSS, JavaScript (React optional)

Backend: Python / Node.js (based on module)

Database: SQLite / PostgreSQL

Version Control: Git + GitLab

🚀 How to Contribute

Fork the repository.

Create a feature branch.

Add your contributions.

Submit a merge request with the provided template.

📜 License

This project is licensed under AGPLv3 to ensure openness and community benefit.

This project showcases two chatbot implementations: one using Hugging Face Transformers for building a general-purpose conversational AI, and another Indic-language chatbot powered by Dify.AI with Gemini integration for multilingual support. The first focuses on simplicity and flexibility with open-source models, while the second enables natural conversations in Indian languages using a no-code orchestration platform.

A community hub for Telugu language enthusiasts to discuss phrases, share stories, and solve riddles, with AI assistance.

SmartNotes is an AI-powered note generation app built with Flask and OpenAI. It helps users summarize and organize content into clean, concise notes quickly.

A community-driven digital cookbook to preserve and share India's diverse culinary heritage.

An AI powered career assistant to help in resume building and interview preparation.

Festival Log – A Cultural Corpus Collection Engine

Festival Log is an open-source, AI-powered Streamlit application designed to document and preserve the rich festival traditions of India. Users can submit cultural information, stories, and personal experiences related to festivals in their local language. The app automatically translates each entry into Telugu using open-source AI models and displays all entries in a collective log. It is optimized for low-bandwidth areas, supports multilingual input, and contributes to building a parallel corpus for Indian language AI research.

Shiksha Translator is a Streamlit app designed to translate educational content across multiple languages to bridge the language gap in education.