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
Ganesh developed an end-to-end MVP for cricket match outcome prediction, delivered as a Streamlit web application in the AabidMK/CricketIQ_Infosys_Internship_Feb2025 repository. The app loads a pre-trained machine learning model using Python and Scikit-learn, allowing users to input match features and receive predicted winning probabilities. Ganesh established a reproducible deployment setup, including dependency management and ngrok authentication, to streamline demos and user testing. The project focused on feature development and robust setup rather than bug fixing, demonstrating depth in integrating data visualization tools like Matplotlib and Seaborn. The work enables rapid iteration and future extension of predictive features.
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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