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The Accident Data Analysis and Prediction System, developed specifically for Datathon-2024, is an innovative web-based platform designed to revolutionize how stakeholders interact with and respond to accident-related data, this system offers a comprehensive suite of features tailored to analyze historical accident data, predict potential accidents.

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Vignesh-kumar-k/datathon

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Project Structure

Total Folders: 3

  1. Frontend - React.js

    • Components: Located in Frontend/src/components, this folder contains all UI components of the project, each in separate JavaScript files. This segregation makes it easy to manipulate and edit components.
    • Source: Frontend/src
      • App.js: Contains all routes and Toast container.
      • Index.js: Renders App.js.
  2. Server (Node.js, Express.js)

    • Models: The server/models folder contains the schema for the complaint section and register/login page, utilizing Mongoose.
    • index.js: Handles backend services. Includes Express.js, Axios, and CORS.
  3. PyServer (Flask)

    • Contains all Jupyter Notebooks with their corresponding pickle files.
    • model.py: Flask file handling all API requests.
    • UI components for these models are present in frontend/src/components/PyHome.js.
    • Datasets: CSV files are pushed into the repository using Git LFS, which tracks files larger than 100 MB.

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The Accident Data Analysis and Prediction System, developed specifically for Datathon-2024, is an innovative web-based platform designed to revolutionize how stakeholders interact with and respond to accident-related data, this system offers a comprehensive suite of features tailored to analyze historical accident data, predict potential accidents.

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