Muhammad Anas@muhammad_anas466

This project aims to develop a Retrieval-Augmented Generation (RAG) application designed to predict lung cancer risks using a comprehensive health dataset. The dataset includes critical features such as gender, age, smoking habits, anxiety, chronic diseases, and symptoms like coughing, wheezing, and chest pain. The RAG framework combines a robust retrieval system with generative AI to deliver precise and contextual insights. By analyzing input data, the application predicts the likelihood of lung cancer and provides evidence-based recommendations for early detection and intervention. Built on Groq and deployed via Streamlit, this solution empowers healthcare providers and individuals to make informed decisions.

COSMOLAB Multilingual Agent is an AI-powered platform designed to make space knowledge accessible in multiple languages. It integrates NASA data, speech-to-text processing, and AI-driven agents to provide accurate and engaging explanations of space-related topics. Users can ask questions via text or upload an audio file, and the system transcribes and processes queries in various languages, including English, Spanish, French, German, Chinese, and Arabic. The AI agents—one focused on research and the other on education—collaborate to analyze NASA’s latest data, verify facts, and explain complex space concepts in simple, easy-to-understand terms. By leveraging Hugging Face’s advanced AI models and FAISS for knowledge retrieval, COSMOLAB ensures that responses are both informative and linguistically accurate. The tool is ideal for students, educators, and space enthusiasts who want to explore the universe in their preferred language. With a user-friendly interface built on Streamlit, COSMOLAB offers seamless interaction, allowing users to switch between languages effortlessly. The speech-to-text feature enhances accessibility, making it easier for people with different learning preferences to engage with space science. Whether you are curious about black holes, Mars missions, or the latest NASA discoveries, COSMOLAB provides detailed, reliable, and multilingual insights. Powered by cutting-edge AI and real-time scientific data, it bridges the gap between space research and global audiences, fostering a deeper understanding of the universe.

**EduConnect** is an AI-driven chatbot designed to bridge the education gap by connecting students, educators, and institutions in underserved regions. It leverages advanced AI models to analyze real-time data, predict challenges, and provide actionable solutions to enhance learning accessibility and quality. With EduConnect, users can: ✅ **Access Real-Time Insights** – Identify challenges faced by schools, colleges, and universities. ✅ **Predict & Solve Problems** – AI-powered recommendations for educational improvement. ✅ **Enhance Connectivity** – Connect institutions with resources, policies, and opportunities. ✅ **Support Decision-Making** – Data-driven guidance for policymakers, teachers, and students. By utilizing open-source AI models, EduConnect ensures affordability, scalability, and inclusivity, empowering students worldwide with better educational opportunities.