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The purpose of this project's design, development, and structure is to create an end-to-end Machine Learning Operations (MLOps) lifecycle to classify an individual's level of obesity based on their physical characteristics and eating habits.
A simple yet powerful Todo List application with a FastAPI backend and a responsive HTML/Tailwind CSS frontend. Features include task management, search, and filtering, with robust validation and interactive UI.
An AI-powered web system that monitors and analyzes microbial soil health using sensor data and machine learning. It provides real-time insights and smart recommendations to enhance soil quality and agricultural productivity.
miniSHOP: A Python-based inventory and order management system using FastAPI and SQLite. Track customers, products, and orders, update stock, and manage sales. Designed for easy integration with a frontend for simple and efficient shop management.