Projects Portfolio

Welcome to my portfolio! Here, you’ll find a showcase of my key projects, where I’ve applied my knowledge of the MERN stack, machine learning, and data science.

1. Food Delivery Website with Admin Panel

Overview

A full-stack food delivery web application built using the MERN stack (MongoDB, Express, React, Node.js). It includes a user-friendly interface for customers and a powerful admin panel for managing orders, menus, and users.

Features

• Customer side: Browse menus, place orders and manage personal profiles.
• Admin side: Add, update, and delete food items..
• Authentication: Secure login/signup customers using JWT and bcrypt.
• Technologies: MongoDB, Express, React, Node.js, Tailwind for styling, JWT for authentication.

2. Crop Prediction App

Overview

A machine learning app to predict the best crops based on soil conditions, utilizing various soil metrics such as pH level, moisture, and nutrients to make accurate predictions. Built using Python and integrated with a simple frontend for ease of use.

Features

• Input parameters: pH level, Nitrogen, Phosphorus, Potassium levels, and soil moisture.
• Prediction: Suggests the most suitable crops to plant based on the input values.
• Machine Learning: Trained using scikit-learn with data preprocessing and model selection techniques.
• Technologies: Python, Flask, scikit-learn, Pandas, NumPy.