Transform Your Coding Skills with Our Smart Gym Tracker Challenge!

Develop a Personalized Fitness App and Boost Your Portfolio

Dear Subscribers,

We are thrilled to help you enhance your coding skills with another exciting project! This week, we have a challenge that could potentially earn you money if developed well. We will be working on a smart gym tracker app. Many people go to the gym, and your app can help them achieve their fitness goals. This project involves creating a mobile app where users can log their weight and other relevant fitness information. The app will recommend personalized workouts and provide day-by-day analysis of their training progress.

Challenge Overview: MyGymTracker

Challenge Duration: 2 weeks
Submission Requirements: Post a demo of your project on LinkedIn, include your GitHub link, mention Mentorini, and use the hashtag #MentoriniSummerCup.

This guide is divided into three levels:

Beginner Level:

1. User Registration and Authentication:

   • Signup/Login with email, Google, or social media accounts.

2. Profile Setup:

   • Users can input their weight, height, age, fitness goals, and other relevant information.

3. Workout Logging:

   • Interface for logging daily workouts, including exercises performed, sets, reps, and weight used.

Intermediate Level:

1. API Endpoints:

   • User authentication and profile management.

   • Logging workouts and retrieving workout history.

   • Managing personalized workout recommendations.

2. Database Schema:

   • Users: Stores user information (email, password, profile details).

   • Workouts: Stores logged workouts and associated data.

   • Recommendations: Stores personalized workout plans for users.

3. Progress Tracking:

   • Graphs and charts to visualize weight changes, workout performance, and overall progress.

4. Workout Recommendations:

   • Personalized workout plans based on user goals and fitness level.

5. Notifications:

   • Reminders to log workouts and motivational messages.

Advanced Level:

1. Personalized Workout Recommendation:

   • Train a machine learning model to recommend workouts based on user data (e.g., weight, fitness goals, previous workout history).

2. Progress Analysis:

   • Use predictive analytics to forecast progress and provide feedback.

   • NLP for analyzing user feedback and adjusting workout plans accordingly.

3. Continuous Integration/Continuous Deployment (CI/CD):

   • Set up automated testing and deployment pipelines to ensure code quality and fast delivery of new features.

4. Containerization and Orchestration:

   • Use Docker to containerize the backend services.

   • Use Kubernetes for orchestrating containerized applications, ensuring scalability and high availability.

5. Monitoring and Logging:

   • Implement monitoring with Prometheus and Grafana to track application performance and user activity.

   • Set up logging to capture and analyze errors and usage patterns.

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Example User Flow:

1. Registration and Profile Setup:

   • The user downloads the app, registers, and sets up their profile by entering their weight, height, age, and fitness goals.

2. Workout Logging:

   • Each day, the user logs their workout details, including exercises, sets, reps, and weights used.

3. Workout Recommendations:

   • Based on the logged data and the user's goals, the app provides personalized workout recommendations.

4. Progress Tracking:

   • The user can view their progress through graphs and charts, seeing changes in their weight and performance over time.

5. Feedback and Adjustments:

   • The app analyzes the logged data and provides feedback, adjusting future workout recommendations to ensure the user stays on track to meet their fitness goals.

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Participation Instructions:

• Project Submission: Post a demo of your project on LinkedIn, along with the GitHub repository link. Make sure to mention Mentorini and use the hashtag #MentoriniSummerCup.

• Collaboration: Invite your friends to join the challenge. Share your progress and seek help on our Discord server, where you can connect with other participants and get support when needed.

P.S. - You can tackle the challenge using any stack technologies you prefer.

Thank you for reading, and we look forward to seeing your amazing projects! Don't forget to invite your friends and join our Discord community to stay connected and get assistance throughout the challenge.

Happy Coding!

Mentorini Team