AI for connectivity hackathon 

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Team Omini is a group of passionate and driven individuals united by a common goal

Team Omini

MuhammadAnique1

Tabasum

Orion_Halcyonfobq

Ayesha_Siddiqui

Muhammad Anas

Fareeha_Amir

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.

A RAG-based app using health data like age, smoking, and symptoms to predict lung cancer risks. It retrieves insights and delivers AI-driven predictions to support early diagnosis and personalized healthcare decisions

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