{"id":19491339,"url":"https://github.com/faisal-fida/payment-prediction-ml","last_synced_at":"2026-05-05T01:40:22.038Z","repository":{"id":198165516,"uuid":"700227058","full_name":"faisal-fida/Payment-Prediction-ML","owner":"faisal-fida","description":"This project is a Flask-based web application designed to train a machine learning model using TensorFlow, make predictions on payment data, and display the results using a web interface.","archived":false,"fork":false,"pushed_at":"2024-10-06T08:07:12.000Z","size":1294,"stargazers_count":0,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-11-10T21:16:29.364Z","etag":null,"topics":["deep-learning","flask","machine-learning","mnist-handwriting-recognition","payments","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"PureBasic","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/faisal-fida.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-10-04T07:35:31.000Z","updated_at":"2024-10-06T08:08:49.000Z","dependencies_parsed_at":null,"dependency_job_id":"772c6cee-df8a-4c3a-8873-206c7718bcb2","html_url":"https://github.com/faisal-fida/Payment-Prediction-ML","commit_stats":null,"previous_names":["faisal-fida/payment_prediction_ml","faisal-fida/payment-prediction-ml"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/faisal-fida%2FPayment-Prediction-ML","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/faisal-fida%2FPayment-Prediction-ML/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/faisal-fida%2FPayment-Prediction-ML/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/faisal-fida%2FPayment-Prediction-ML/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/faisal-fida","download_url":"https://codeload.github.com/faisal-fida/Payment-Prediction-ML/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":233002968,"owners_count":18609862,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep-learning","flask","machine-learning","mnist-handwriting-recognition","payments","tensorflow"],"created_at":"2024-11-10T21:16:33.261Z","updated_at":"2026-05-05T01:40:21.988Z","avatar_url":"https://github.com/faisal-fida.png","language":"PureBasic","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# Payment Prediction ML\n\nThis project is a Flask-based web application designed to train a machine learning model using TensorFlow, make predictions on payment data, and display the results using a web interface.\n\n## Table of Contents\n\n- [Installation](#installation)\n- [Usage](#usage)\n- [Complexities](#complexities)\n- [Solutions](#solutions)\n- [Challenges](#challenges)\n- [License](#license)\n\n## Installation\n\n1. Clone the repository:\n\n```sh\ngit clone https://github.com/faisal-fida/payment_prediction_ml.git\ncd payment_prediction_ml\n```\n\n2. Install the dependencies:\n\n```sh\npip install -r requirements.txt\n```\n\n3. Run the application:\n\n```sh\npython app.py\n```\n\n## Usage\n\nThe application provides the following functionalities:\n\n1. **Train the Model**: Run `prediction.py` to train the model on MNIST data and save the trained model.\n2. **Web Interface**: Use Flask to provide a web interface for viewing predictions.\n\n## Features\n\n- **Machine Learning Model**: The project uses TensorFlow to create, train, and evaluate a neural network model for payment prediction.\n- **Data Handling**: The project involves normalizing and splitting data into training and testing sets.\n- **Web Integration**: Flask is used to create a web interface for displaying predictions and allowing users to upload images.\n\n- **Efficient Model Training**: Implemented a sequential neural network model using TensorFlow, including layers for data flattening and dense layers with ReLU and softmax activations.\n- **Data Normalization**: Utilized TensorFlow utilities to normalize the dataset, ensuring the model trains effectively.\n- **User-Friendly Interface**: Developed a responsive web interface with Tailwind CSS for users to upload images and view predictions.\n\n- **Model Accuracy**: Ensuring the model achieves a high accuracy required fine-tuning the architecture and parameters.\n- **Data Normalization**: Properly normalizing the data was crucial for the model's performance.\n- **File Handling**: Managing file uploads and predictions through a web interface required careful handling of HTTP requests and response rendering.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffaisal-fida%2Fpayment-prediction-ml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffaisal-fida%2Fpayment-prediction-ml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffaisal-fida%2Fpayment-prediction-ml/lists"}