AI Resource Consumption Tracker

Overview

This project estimates and visualizes the energy and water consumption of artificial intelligence systems. It models AI usage, stores results in a database, and presents insights through an interactive dashboard.

Goals

• Model AI energy and water usage
• Build a data pipeline using Python and SQL
• Develop a backend API with FastAPI
• Create a frontend dashboard for visualization
• Explore ethical implications of AI resource consumption

Tech Stack

• Backend: Python, FastAPI, SQLAlchemy
• Database: SQLite (SQLAlchemy ORM)
• Frontend: React (Vite), Tailwind CSS
• Data Science: Pandas (for future analysis)

Project Structure

• /backend: FastAPI server, SQLAlchemy database models, and AI consumption logic.
• /frontend: React dashboard styled with Tailwind CSS, fetching live data via API.
• ai_usage.db: Local SQLite database storing all resource calculation history.

Getting Started

1. Backend: cd backend -> pip install -r requirements.txt -> uvicorn main:app --reload
2. Frontend: cd frontend -> npm install -> npm run dev