{"id":28640356,"url":"https://github.com/tynoee/loan-approval-prediction","last_synced_at":"2026-04-24T22:38:04.005Z","repository":{"id":243003569,"uuid":"811187085","full_name":"Tynoee/Loan-Approval-Prediction","owner":"Tynoee","description":"This project is a web application for predicting loan approval status based on various financial and personal attributes. It uses a machine learning model that I trained on historical loan data to make predictions. 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It uses a machine learning model that I trained on historical loan data to make predictions. I built the web application using Flask for the web framework, SQLite for the database, and the pre-trained model saved with joblib.\n\nThe following machine learning models were explored and evaluated for the prediction task:\n\n- Logistic Regression\n- Decision Tree\n- Random Forest\n- Gradient Boosting\n- Support Vector Machine\n\n# Features\n- Predicts loan approval status based on user input.\n- Utilizes a machine learning model trained on historical loan data.\n- Provides a user-friendly interface for inputting loan application details.\n- Stores client information and prediction results in a SQLite database.\n\n\u003cimg src=\"app.png\" alt=\"Alt Text\" width=\"500\" height=\"500\"\u003e\n\n## More Information\n\nPlease go through [Loan_Prediction](LoanPrediction.pptx) for more information.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftynoee%2Floan-approval-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftynoee%2Floan-approval-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftynoee%2Floan-approval-prediction/lists"}