Week #2 #

Detailed Requirements Elaboration #

Mobile App

• UseCases: Start a workout. Dynamically change it during session. Save it locally in database.
• AI: See review of the workout. (Might be additions)
• UI: Pages and widgets related to workout session. Graphs for tracking progress (exercise analytics, workout calendar)
• Datasources: Prepopulated exercise information. Sql-based Database for local memory.
• Design: Following clean architectures principles
• Backend: For Synchronisation and AI endpoints usage.

Admin panel:

• UseCases: Admins see analytics in the app
• What Exactly?: Last Seen in Application; How often is usage; What is user doing in app (and more).
• UI: Graphs, tables, logs
• Backend: Endpoints for collecting data.
• DataSource: Database for tracking UID of User with related data to it.

Prioritized backlog #

https://nodoser.atlassian.net/jira/software/projects/SCRUM/boards/1/backlog (Some tasks are omitted, for detailed contribution check weekly commits)

Project specific progress #

Mobile App #

• Workout-related data (pictures; json) was created.
• Model for exercise-information was designed.
• Basic CI/CD (linting) was built and tested.

Main Backend (for mobile app) #

• Based architecture was created (see more in personal contribution)

Frontend (Admin Panel) #

• UI based on static data was created (see more in personal contribution).

Backend (Admin Panel) #

• Based architecture was created (see more in personal contribution)

Weekly commitments #

Individual contribution of each participant #

Ivan Chabanov:

1. Build basic CI/CD pipeline (linting)

2. Implement model for exercise and generate a json of 30 exercises.

3. Find a model for picture gen (SORA). Generate most of gym exercise pictures.

https://github.com/IU-Capstone-Project-2025/gym-genius/pull/7 https://github.com/IU-Capstone-Project-2025/gym-genius/pull/8 https://github.com/IU-Capstone-Project-2025/gym-genius/pull/9 https://github.com/IU-Capstone-Project-2025/gym-genius/pull/10

Vlad Kuznetsov:

1. с нуля изучил голанг; роутер chi, орм gorm
2. описал базовую архитектуру приложения

https://github.com/IU-Capstone-Project-2025/gym-genius/pull/5

Egor Dushin:

1. изучал документацию Nuxt 3

2. выбирал архитектурное решение - выбрал atomic design архитектуру из-за возможности быстрой навигации в компонентном дереве

3. Выбирал ui kit, остановился на Nuxt UI из-за его стабильности и лаконичности

4. Выбирал стек для графиков, взял ChartJS, как самую популярную либу для графиков

5. Реализовал график активности пользователей с возможностью переключать интервал времени. На статических данных, естественно

https://github.com/IU-Capstone-Project-2025/gym-genius/pull/6

Kirill Nosov

1. Создание структуры бекенда на админке
2. Подключение фреймворка для api (fiber)
3. Инициализация бд (подключение gorm)
4. Имплементация метода для получения и записи активности пользователей
5. Имплементация метода отправки активности пользователей для фронта (в процессе)

https://github.com/IU-Capstone-Project-2025/gym-genius/pull/11

Aleksandr Mihailov

• Research Go docs
• Research Fiber, Gorm libraries for backend
• Decided whether to use cloud-based AI models or lightweight local ones.
• Researched a cloud-based AI models services and pick model for application
• Thought of where to use AI solutions in Mobile App

https://github.com/IU-Capstone-Project-2025/gym-genius/pull/12

Plan for Next Week #

Continue working on our features. Some of the tasks can be seen in backlog already: https://nodoser.atlassian.net/jira/software/projects/SCRUM/boards/1/backlog

Confirmation of the code’s operability #

We confirm that the code in the main branch:

• [+] In working condition.
• [+] Run via docker-compose (or another alternative described in the README.md).