🏏 CricAI

An intelligent analytics platform comprising

• CLI Application
• Desktop Application
• Web Application

designed to predict the outcomes of future cricket matches using advanced machine learning techniques.

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🔬 Core Architecture & Models

CricAI implements specialized supervised learning architectures to evaluate, analyze, and forecast match dynamics:

• Neural Networks
• Decision Tree Classifier
• Support Vector Machines (SVM)

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🛠️ Technology Stack

• Language Backend: Python
• Data Science Ecosystem: Scikit-Learn (sklearn), Pandas, NumPy
• Desktop Interface: PyQt5
• Web Engine: Flask

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📚 Academic Publication

The foundation of the predictive model architectures implemented inside this software can be found in the following published research paper:

👉 Outcome Prediction of ODI Cricket Matches using Decision Trees and MLP Networks

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