EXCEEDS logo
Exceeds
psai-github

PROFILE

Psai-github

Pranav contributed to the CSA_Combined_Frontend_Fork repository by developing interactive educational and gameplay features over a two-month period. He built a JavaScript Iteration Education Module that delivers lessons and coding exercises on loops, supporting learner onboarding with clear, maintainable code. For Mansion Level 3, Pranav implemented a new player sprite with WASD controls, integrated skeleton enemies, key collection mechanics, and a synchronized HUD for lives and score, all using JavaScript and HTML5 canvas. His work emphasized modular architecture and robust collision detection, enabling future level expansions while ensuring smooth gameplay and asset management without introducing bugs or integration issues.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

5Total
Bugs
0
Commits
5
Features
3
Lines of code
1,306
Activity Months2

Work History

November 2025

3 Commits • 1 Features

Nov 1, 2025

November 2025 monthly summary: Delivered end-to-end Mansion Level 3 integration for CSA_Combined_Frontend_Fork, including level module import, new assets, skeleton enemies, key collection, scrolling backgrounds, and a refreshed HUD for lives and score. Implemented robust collision detection and ensured HUD state sync with gameplay events. Fixed integration gaps to stabilize Level 3 rollout. This milestone advances the roadmap for additional levels and showcases solid asset handling and modular design.

October 2025

2 Commits • 2 Features

Oct 1, 2025

October 2025: Delivered two frontend features in CSA_Combined_Frontend_Fork that drive learner onboarding and gameplay interactivity. The JavaScript Iteration Education Module provides a lesson and homework for loops, while Mansion Level 3 gains a new player sprite and WASD controls, enhancing user engagement and level flow. The work emphasizes maintainability through clear commits and traceability, setting a foundation for future iterative improvements.

Activity

Loading activity data...

Quality Metrics

Correctness88.0%
Maintainability88.0%
Architecture88.0%
Performance88.0%
AI Usage28.0%

Skills & Technologies

Programming Languages

JavaScriptPython

Technical Skills

Educational Content CreationFront End DevelopmentFrontend DevelopmentGame DevelopmentHTML5 canvasJavaScriptcollision detectionfront end developmentgame development

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

CSA-Coders-2025/CSA_Combined_Frontend_Fork

Oct 2025 Nov 2025
2 Months active

Languages Used

JavaScriptPython

Technical Skills

Educational Content CreationFront End DevelopmentFrontend DevelopmentGame DevelopmentJavaScriptHTML5 canvas

Generated by Exceeds AIThis report is designed for sharing and indexing