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Cricology is a an Indian sports platform that allows user to predict the future of cricket matches and series. We use Artificial Intelligence (Machine Learning) to predict the future of matches based on past trends and available data

Cricket match score prediction using Machine learning algorithms: Linear Regression & Random Forest.

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ICC T20 World Cup 2022 Winner Prediction using Machine Learning

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Players Pick Pavilion...a demo website using simple React Js... Pick your favorite players and make your fantasy team.....

Project To Optimize Your Fielding Positions in Cricket

Automated serverless pipeline for extracting, processing, and publishing Men’s T20 International (T20I) cricket data to Kaggle. Built with AWS Lambda, EventBridge, MongoDB Atlas, and S3, it delivers fresh, validated datasets updated weekly—complete with real-time Telegram notifications for seamless monitoring.

Macros para o sistema Tormenta 20 no Foundry VTT, que ajudam a automatizar o processo de cálculo de acertos e aplicação de danos durante o jogo

Built an interactive Power BI dashboard highlighting the Best XI from the T20 World Cup 2022 🏏, covering top openers, middle-order players, all-rounders, and tail-enders. Designed for intuitive exploration of player stats, shared via PBIX for learning and analysis.

This is a data analysis project about IPL T20 dataset about players and teams

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Este projeto contém uma macro para o Foundry VTT que cria um journal com todas as variáveis de um personagem e de rolagem atreladas a um token no sistema Tormenta 20.

Frontend client for CricIntel – AI-powered Cricket Team Prediction System, developed using Next.js and shadcn/ui for a modern, responsive and component-driven experience. The UI enables users to generate the optimal Playing XI, visualize performance metrics and interact directly with the backend ML inference API.