Current Page
Predictive Analytics for Cricket
Data Analysis and Visualization: Jupyter Notebook, Google Colab, PowerBI
Libraries: Pandas, Numpy, Matplotlib, Seaborn
This project focuses on developing a predictive analytics system for cricket, intended to track, monitor, select, and evaluate player performance. The system is designed to identify top-tier cricketers, evaluating them based on criteria like power hitting, strike rate, overall value, skill in critical situations, and training needs. Initially crafted for cricket, the intention is to extend this framework to other sports such as football, kabaddi, and hockey in future phases.
Keep reading
Finance
Finance AI Chatbot
Education Technology
AI-Powered Virtual Teaching Assistant
Legal Services
Streamlining Web Application Navigation with Conversational AI
Information Technology