kietmcaproject/AI_AI101B_2024-25
Apr 2025 – May 2025
2 Months active
Languages Used
Python
Technical Skills
Algorithm ImplementationArtificial IntelligenceGame Development
kiran-1372
PROFILE
Kiran-1372
Developed core features for the kietmcaproject/AI_AI101B_2024-25 repository, focusing on artificial intelligence and game development using Python. Delivered a fully playable Tic-Tac-Toe game with an AI opponent powered by the minimax algorithm and alpha-beta pruning, implementing board rendering and win/draw detection to demonstrate algorithmic proficiency. Prioritized repository organization by expanding documentation scaffolding, adding structured readmes, reports, and presentation artifacts to streamline onboarding and knowledge transfer. Established the TechnoGeek AI ESE Resource Library, centralizing onboarding-ready documentation and resource assets. Emphasized a documentation-first approach, enabling faster stakeholder reviews and supporting future scaling, with all work tracked through clear commit history.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
22Total
Bugs
0
Commits
22
Features
3
Lines of code
228
Activity Months2
Your Network
140 peopleWork History
May 2025
4 Commits • 1 Features
May 1, 2025May 2025: Delivered the TechnoGeek AI ESE Resource Library for kietmcaproject/AI_AI101B_2024-25. Implemented onboarding-ready documentation and resource assets by adding a readme.md and accompanying PDFs/presentations under the TechnoGeek_AI_ESE directory. This work provides a centralized reference that accelerates onboarding, standardizes knowledge transfer, and reduces support overhead. No major bugs fixed this month; the focus was repository organization and documentation. Key commits establishing the library include 942e42d3d59563774cba2e320c01c46ef7849277 (Create readme.md) and subsequent asset uploads: 5899fc5327f17c3a7918f8387c6e5e5425d42dc1, 64f75b5108178ce2880bd621147c44df7e05e971, 707ba745111bf9d353c89496edbe65b6d8e2e15c.
4 Commits • 1 Features
May 1, 2025May 2025: Delivered the TechnoGeek AI ESE Resource Library for kietmcaproject/AI_AI101B_2024-25. Implemented onboarding-ready documentation and resource assets by adding a readme.md and accompanying PDFs/presentations under the TechnoGeek_AI_ESE directory. This work provides a centralized reference that accelerates onboarding, standardizes knowledge transfer, and reduces support overhead. No major bugs fixed this month; the focus was repository organization and documentation. Key commits establishing the library include 942e42d3d59563774cba2e320c01c46ef7849277 (Create readme.md) and subsequent asset uploads: 5899fc5327f17c3a7918f8387c6e5e5425d42dc1, 64f75b5108178ce2880bd621147c44df7e05e971, 707ba745111bf9d353c89496edbe65b6d8e2e15c.
May 2025
April 2025
18 Commits • 2 Features
Apr 1, 2025Apr 2025 monthly summary focusing on key accomplishments, business value, and technical achievements for the kietmcaproject/AI_AI101B_2024-25 repository.
April 2025
18 Commits • 2 Features
Apr 1, 2025Apr 2025 monthly summary focusing on key accomplishments, business value, and technical achievements for the kietmcaproject/AI_AI101B_2024-25 repository.
Activity
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Quality Metrics
Correctness98.2%
Maintainability97.2%
Architecture97.2%
Performance97.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Algorithm ImplementationArtificial IntelligenceGame Development
Repositories Contributed To
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