FitLife is a web-based smart fitness tracker built using:

• Java Servlets + JSP

• JDBC + MySQL

• Tomcat 9

• Maven

• Weka J48 Machine Learning

The application allows users to:

• Register & log in

• Add workouts

• View personal dashboard stats

• Predict activity type using a decision tree model

• Maintain data per user

• Register new accounts

• Secure login

• Session handling

• Logout functionality

• Add workouts with:

  • Activity type

  • Duration

  • Distance

  • Calories

  • Notes

• View user-specific workouts

• Stored in MySQL

Shows totals for the logged-in user:

• Total workouts

• Total time (minutes)

• Total calories

User enters:

• Duration

• Distance

• Calories

Model predicts:

• Running

• Cycling

• Walking

• Gym Workout

Model uses a synthetic 40-record dataset stored in:

src/main/webapp/WEB-INF/dataset/fitness.arff

chinthakas-sem2/
 ├── pom.xml
 ├── README.md
 ├── src/
 │   ├── main/
 │   │   ├── java/com/fitlife/
 │   │   │   ├── config/        DB connection
 │   │   │   ├── dao/           DAO classes
 │   │   │   ├── model/         Models (User, Workout)
 │   │   │   └── servlet/       All Servlets
 │   │   ├── webapp/
 │   │   │   ├── WEB-INF/
 │   │   │   │   ├── views/     JSP screens
 │   │   │   │   ├── dataset/   fitness.arff
 │   │   │   │   └── web.xml
 │   │   │   └── assets/        CSS/JS (if any)

CREATE DATABASE fitlife_db;
USE fitlife_db;

CREATE TABLE users (
    id INT AUTO_INCREMENT PRIMARY KEY,
    username VARCHAR(50) NOT NULL UNIQUE,
    password_hash VARCHAR(255) NOT NULL,
    email VARCHAR(100),
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

CREATE TABLE workouts (
  id INT AUTO_INCREMENT PRIMARY KEY,
  user_id INT NOT NULL,
  activity_type VARCHAR(50) NOT NULL,
  duration_minutes INT NOT NULL,
  distance_km DECIMAL(5,2) NOT NULL,
  calories_burned INT NOT NULL,
  date DATE NOT NULL,
  notes VARCHAR(255),
  FOREIGN KEY (user_id) REFERENCES users(id)
);

• Java 17

• Apache Tomcat 9

• Maven

• MySQL

1. Update DB credentials in:

   src/main/java/com/fitlife/config/DBConnection.java

2. Build project via IntelliJ Maven tool.

3. Deploy using:

   Run → Edit Configurations → Tomcat 9 → Add Deployment → WAR exploded

4. Start Tomcat.

http://localhost:8080/fitlife/login

The model trains on each request using:

src/main/webapp/WEB-INF/dataset/fitness.arff

Removed:

• .idea/

• .git/

• target/

• .DS_Store

• __MACOSX/

• src/main/resources/

• src/main/java/com/fitlife/ml/ (unused ML attempts)

This project is:

• Cleaned

• Fully functional

• ML prediction fixed

• Database stable

• Ready for academic submission