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The system processes the uploaded file, runs it through a pre-trained machine learning model, and visualizes the output using intuitive charts and tables for easy interpretation.\n\nTo assist users in generating flow-based CSV files, a downloadable `.jar` file of **CICFlowMeter** is also provided along with usage instructions, enabling users to perform local packet capture and feature extraction before uploading to the web app.\n\n---\n\n### Tech Stack\n\n- **Frontend:** HTML, CSS, JavaScript, Chart.js\n- **Backend:** FlaskAPI (Python), XGBoost model\n- **Deployment:** Vercel (Frontend), Render.com (Backend API)\n\n---\n\nThis app is designed for simplicity and quick analysis, making botnet detection accessible to users without deep technical expertise.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshubhampaliwal03%2Ftraffictracer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshubhampaliwal03%2Ftraffictracer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshubhampaliwal03%2Ftraffictracer/lists"}