Fitness Level Prediction Using Machine Learning & Streamlit

Developed an AI-powered Fitness Level Prediction model that evaluates a user’s fitness based on input parameters. Built using machine learning algorithms, the model analyzes key health metrics to provide personalized fitness insights. The project is deployed online using Streamlit, enabling an interactive and user-friendly experience.

Key Technologies:

• Python, TensorFlow, Pandas, Streamlit, Machine Learning

Project Outcomes:

• Predicts user fitness levels based on input data
• Deployed as a real-time web app using Streamlit
• User-friendly interface for seamless interaction

 

Links:

• Source code
• Demo