Reviva: 🩺 AI-Powered Health Recommendation System

🌟 Project Overview

Deployed Application: https://reviva1-5.onrender.com/

Developed by Afjal Hussein

Table of Contents

• Background
• Features
• AI Algorithm
• Instructions to Run
• Requirements
• Description of Project
• Contributions and Acknowledgments

Background

In an era where personalized health recommendations are becoming increasingly important, Reviva aims to provide users with an AI-powered tool for generating health insights. My application utilizes machine learning techniques to offer personalized health recommendations based on individual user data.

Description of Project

The Reviva web application provides users with an intuitive interface to input their health-related data and receive personalized recommendations. Users can input details such as age, gender, weight, height, activity level, and health goals. The application then utilizes AI algorithms to generate insightful health recommendations, including BMI calculations, calorie needs, and personalized advice.

Features

• Real-time health analysis based on user-provided data.
• Calculation of BMI and interpretation of BMI category.
• Estimation of daily calorie needs based on personal factors.
• AI-generated personalized health recommendations.
• User-friendly interface for easy data input and result visualization.

Input

User-provided health data including age, gender, weight, height, activity level, and health goals.

Data Processing

• Utilizes a combination of traditional calculations and machine learning models.
• Employs a Random Forest Classifier for generating personalized recommendations.

Health Analysis Techniques

• BMI Calculation and Interpretation
• Calorie Needs Estimation
• AI-powered Recommendation System

Output

BMI score, BMI category, estimated daily calorie needs, and a set of personalized health recommendations.

REVIVA.mp4

Instructions to Run

To run this project locally, follow these steps:

1. Clone the repository

git clone https://github.com/INSANE0777/reviva1.git
cd reviva

2. Install Requirements

pip install -r requirements.txt

3. Run the application

python app.py

4. Open a web browser and navigate to http://localhost:5000

Requirements

Flask==2.0.1
numpy==1.21.0
scikit-learn==0.24.2

Contributions and Acknowledgments

This project is open for contributions, and we welcome any feedback or suggestions for improvement. If you find this project useful, feel free to use it for your needs. When attributing this project, please mention:

Reviva by Afjal Hussein
Repository: https://github.com/INSANE0777/reviva1