AabidMK/CricketIQ_Infosys_Internship_Feb2025
Apr 2025 – Apr 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Data VisualizationJoblibMachine LearningMatplotlibNgrokPandas
P.Tamil Selvi
PROFILE
P.tamil Selvi
Developed an end-to-end minimum viable product for cricket match outcome prediction, delivered as a Streamlit web application in the AabidMK/CricketIQ_Infosys_Internship_Feb2025 repository. The solution integrated a pre-trained machine learning model using Python and Scikit-learn, enabling users to input match features and receive predicted winning probabilities. The developer established a reproducible deployment setup, including dependency management and ngrok authentication, to streamline demonstrations and user testing. Emphasis was placed on feature development and robust setup rather than bug fixing, resulting in a maintainable codebase that supports rapid iteration and future enhancements. Work focused on practical application of data visualization and web development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
296
Activity Months1
Your Network
5 peopleShared Repositories
5
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivered an end-to-end MVP for cricket match outcome prediction via a Streamlit app. Created reusable deployment scaffolding (dependencies, ngrok authentication, and run instructions), enabling quick demos and user testing. The app loads a pre-trained ML model to predict the winning team and associated probability based on user-provided features.
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivered an end-to-end MVP for cricket match outcome prediction via a Streamlit app. Created reusable deployment scaffolding (dependencies, ngrok authentication, and run instructions), enabling quick demos and user testing. The app loads a pre-trained ML model to predict the winning team and associated probability based on user-provided features.
April 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Data VisualizationJoblibMachine LearningMatplotlibNgrokPandasPlotlyPythonScikit-learnSeabornStreamlitWeb Development
Repositories Contributed To
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