{"id":26274119,"url":"https://github.com/absarraashid3/kickmetrics","last_synced_at":"2025-03-14T09:18:10.940Z","repository":{"id":263737493,"uuid":"891328738","full_name":"AbsarRaashid3/KickMetrics","owner":"AbsarRaashid3","description":"Kick Metrics is a cutting-edge web application transforming football analytics through data science, machine learning, and modern web development. 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It offers tools for analyzing player performance, predicting market values, and planning team strategies, catering to professional teams, scouts, analysts, and football enthusiasts.\n\n## Key Features\nPlayer Performance Analysis: Utilize advanced metrics and visualizations to assess player strengths and weaknesses.\nMarket Value Prediction: Employ machine learning models to estimate player market values based on performance data.\nTeam Strategy Planning: Analyze team dynamics and optimize strategies using data-driven insights.\nUser-Friendly Interface: Navigate through an intuitive UI designed for both professionals and enthusiasts.\n\n## Installation\nTo set up the project locally, follow these steps:\n\nClone the repository\ngit clone https://github.com/AbsarRaashid3/KickMetrics.git\n\nNavigate to the project directory:\ncd KickMetrics\n\nInstall backend dependencies:\ncd backend\nnpm install\n\nInstall frontend dependencies:\ncd ../frontend\nnpm install\n\n\n## Usage\nData Import: Upload datasets containing player and match statistics.\nAnalysis Tools: Navigate to the analysis section to explore various metrics and visualizations.\nPredictions: Use the prediction module to estimate player market values and potential performance.\nStrategy Planning: Utilize team analysis tools to devise optimal game strategies.\n\n## Technologies Used\nFrontend:\n\nReact.js \u003cbr\u003e\nRedux \u003cbr\u003e\nChart.js (for data visualization) \u003cbr\u003e\nAxios \u003cbr\u003e\n\nBackend:\n\nNode.js \u003cbr\u003e\nExpress.js \u003cbr\u003e\nMongoDB \u003cbr\u003e\nMongoose \u003cbr\u003e\nPython (for machine learning models) \u003cbr\u003e\nFlask \u003cbr\u003e\n\nOthers:\n\nJWT for authentication \u003cbr\u003e\nD3.js for advanced data visualizations \u003cbr\u003e\nDocker for containerization \u003cbr\u003e\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabsarraashid3%2Fkickmetrics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabsarraashid3%2Fkickmetrics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabsarraashid3%2Fkickmetrics/lists"}