Problem Statment
Existing System/ Related Works
Papers:
Lee, H. E., & Cho, J. (2022). Mobile health apps for dietary assessment: A systematic review. Journal of Medical Internet Research, 24(4), e35612.
Wang, Q., & Sun, X. (2024). Real-time pose estimation for exercise correction using smartphone cameras. IEEE Transactions on Multimedia, 26, 1234–1245.
Sai Rugved Lola ,Rahul Dadhvai, Wei Wan g, Ting Zhu Chatbot for fitness management using IBM Watson
LIVING, H. H. (2012). Best Fitness Apps of 2012. Retrieved from Huffington Post:
Apps:
MyFitnessPal (https://play.google.com/store/apps/details?id=com.myfitnesspal.android&hl=en&pli=1)
Zing AI: Home & Gym Workouts (https://play.google.com/store/apps/details?id=coach.zing.fitness&hl=en)
Fitbod: Workout & Gym Planner(https://play.google.com/store/apps/details?id=com.fitbod.fitbod&hl=en)
Proposed System Modules
User Login & Profile Management
Meal Logger
Barcode Scanner
Manual Entry
Recipe Add & Food Recommendations
Goal-Based Workout Planner
Angle Corrector with Calorie Burn Estimator
Step Counter with Calorie Integration
Sleep Scheduler & Tracker
Workout Tutorials & Muscle-Based Recommendations
AI Chatbot Assistant
Advantage of the Proposed System
All-in-One Fitness Solution
Personalized & Goal-Based Plans
AI-Powered Features
Live Calorie Tracking
Better Decision Making
Synopsis Document
Synopsis Presentation
App Screenshots
Team
Zohaib Tariq FC-176
Muhammad Haddi FC-173
Haseeb Ali FC-135