AI-Powered Meal Recommendation System is a machine learning-based web application that provides personalized diet and health recommendations. The system analyzes user inputs such as age, BMI, activity level, and dietary preferences to predict nutritional requirements using Gradient Boosting and assess health risk using Random Forest. It then generates customized meal plans using a cosine similarity-based recommendation engine.

Installation & Setup

Follow these steps to run the project locally:

Check Python version

py -0

Create virtual environment

py -3.11 -m venv venv311

Activate virtual environment (Windows)

venv311\Scripts\activate

Install required dependencies

pip install scikit-learn==1.4.2 joblib geocoder

Run the application

python app.py

Make sure Python 3.11 is installed before creating the virtual environment Activate the virtual environment before installing dependencies If using Linux/Mac, activation command will be: source venv311/bin/activate