takrimchy/Weight-Gain-Prediction

Predictive weight gain system leveraging machine learning algorithms—Linear Regression and a custom TensorFlow neural network. Estimates weight gain based on age, gender, exercise intensity, and weather conditions. Offers personalized exercise recommendations and calorie burn predictions for effective weight management

Weight Gain Prediction using Machine Learning 🤖💡

Overview:

This project showcases a comprehensive weight gain prediction system using machine learning techniques. Leveraging Python's powerful libraries such as Pandas, Scikit-learn, and TensorFlow, the model accurately estimates weight gain based on multiple factors, including age, gender, exercise intensity, and weather conditions.

Key Features:

• Multi-Algorithm Approach: Employed Linear Regression and a custom TensorFlow neural network for accurate weight gain predictions.
• Personalized Recommendations: Users can input their details to receive tailored exercise suggestions and predicted calorie burn for effective weight management.
• TensorFlow Utilization: Engineered a specialized neural network architecture utilizing TensorFlow's capabilities, fine-tuned specifically for weight gain estimation.

Project Objective:

The primary aim of this project was to develop a robust predictive system capable of aiding individuals in managing their weight effectively. The model not only predicts weight gain but also provides actionable insights to support users' fitness journeys.

Future Enhancements:

Include additional features for a more comprehensive weight management system. Explore other machine learning algorithms for comparison and performance evaluation.