Smart Fitness Tracker – Summary

A Java-based fitness tracking web application built using MVC architecture, Servlets, JSP, DAO, and a machine-learning prediction model.

⭐ Key Features

User registration, login, and profile management

Add/view workouts and nutrition logs

Dashboard showing calories, streaks, charts, and progress

Search & filter workouts or meals

Streak system with badges to motivate users

Prediction feature using WEKA model to identify activity type

Clean UI with multiple pages: Login, Register, Dashboard, Workout, Nutrition, Predict, Streaks, Search, Profile

⭐ Technical Highlights

MVC Pattern: Servlets (Controller), JSP (View), Java POJOs/DAOs (Model)

Database: Users, Workouts, Nutrition Logs, Predictions, Streaks, User Settings

Machine Learning: J48 Decision Tree with 98% accuracy

Real-time predictions based on duration, distance, calories

⭐ Purpose

To help users track workouts, monitor diet, maintain consistency through streaks, and get AI-based activity predictions for better fitness insights.

bellanah/Web-application-demo-video

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