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Moniepoint Analytics

This is a project submission for the Moniepoint Hackathon. It includes a backend built with Flask and a frontend built with React and TypeScript. It also includes an interactive python notebook where I tested my initial code. The main project submission is in the monie-shop-analytics folder, the other files and folders are included as a guide to the problem solving process.

Features

  • Analyzes sales data from Monieshop.
  • Displays metrics like highest sales volume, most sold product, peak sales houretc.

Tech Stack

  • Frontend:
    • Vite
    • TypeScript
    • React
    • shadcn-ui
    • Tailwind CSS
  • Backend:
    • Flask (Python web framework)

Why I Chose These Tools

  • Vite: Provides a faster and more efficient development experience compared to traditional tools like Webpack.
  • TypeScript: Adds type safety, reducing bugs and improving code quality.
  • React: Enables a component-based architecture, making the UI more modular and maintainable.
  • shadcn-ui: Offers pre-built, customizable components, speeding up UI development.
  • Tailwind CSS: Simplifies styling with utility-first CSS, making it easier to build responsive designs.

Setup

  1. Clone the repository:
    git clone https://github.com/your-username/moniepoint-analytics.git
    cd monie-shop-analytics
    npm i
    npm run dev

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submission for hackathon problem

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