Tanzania-AI-Community/twiga
Apr 2026 – Apr 2026
1 Month active
Languages Used
Python
Technical Skills
Code RefactoringPythonSoftware Developmentbackend developmentexam generation logic
Bhargav Joshi
PROFILE
Bhargav Joshi
Worked on the Tanzania-AI-Community/twiga repository to enhance the quality and reliability of automated exam generation. Focused on backend development using Python, the work involved refactoring core logic to prevent repeated questions and ensure a broader diversity of concepts in generated assessments. Improvements included refining the formatting of exam questions and answers for greater clarity and consistency, making outputs easier to interpret and maintain. By implementing targeted code refactoring and addressing duplication issues, the changes increased both the maintainability and scalability of the exam generation pipeline, supporting more robust content creation and higher assessment integrity for future development needs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
91
Activity Months1
Your Network
17 peopleWork History
April 2026
3 Commits • 2 Features
Apr 1, 2026April 2026: Focused on improving exam generation quality and output clarity in Tanzania-AI-Community/twiga. Implemented safeguards to prevent repeated questions, enhanced diversity of concepts, and refined answer formatting to improve clarity and consistency. Completed two major feature deliveries and associated bug fixes to raise assessment integrity and maintainability. These changes drive better exam reliability for customers and scalable generation for future content.
3 Commits • 2 Features
Apr 1, 2026April 2026: Focused on improving exam generation quality and output clarity in Tanzania-AI-Community/twiga. Implemented safeguards to prevent repeated questions, enhanced diversity of concepts, and refined answer formatting to improve clarity and consistency. Completed two major feature deliveries and associated bug fixes to raise assessment integrity and maintainability. These changes drive better exam reliability for customers and scalable generation for future content.
April 2026
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage26.6%
Skills & Technologies
Programming Languages
Python
Technical Skills
Code RefactoringPythonSoftware Developmentbackend developmentexam generation logic
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