prodigy-infotech

A machine learning engineer leverages programming and statistical expertise to design, implement, and deploy predictive models. They bridge the gap between data science theory and practical applications, solving real-world problems through innovative machine learning solutions.

Prodigy-Infotech-CyberSecurity-Internship-Solutions

Prodigy Infotech Internship

This repository contains all the tasks given by Prodigy Infotech during my internship as a web developer intern.

Task 1 of the Prodigy infotech Data science internship

Weather Forecasting Application: This is preview of the project. You can visit live preview on-

Task 2 of the Prodigy infotech Data science internship

This is preview of the project. You can visit live preview on:

Task 5 of the Prodigy InfoTech ML internship which involves Developing a model that can accurately recognize food items from images and estimate their calorie content enabling users to track their dietary intake and make informed food choices

Task 4 of the Prodigy InfoTech ML internship which involves Developing a hand gesture recognition model that can accurately identify and classify different had gestures from image or video data enabling intuitive human-compute interaction and gesture-based control systems.

Full-stack MERN authentication system with JWT sessions, bcrypt password hashing, and role-based access control — glassmorphism UI with video backgrounds. Built for the Prodigy InfoTech Full-Stack Web Development Internship.

Full-stack MERN real-time chat application built on Socket.IO — group rooms with admin-approved join requests, connection-gated direct messages, live presence, typing indicators, and file sharing. Built for the Prodigy InfoTech Full-Stack Web Development Internship.

Task 5 of the Prodigy infotech Data science internship

🚀 House Price Prediction Project 🏡 Developed at Prodigy Infotech: Predicting house prices using linear regression on square footage, bedrooms, and bathrooms. Tech Stack: Python, Pandas, Scikit-learn, Matplotlib. Dataset: Kaggle House Prices.

Full-stack MERN Employee Management System with JWT authentication, role-based access control, and full CRUD operations. Admin-only dashboard with server-side and client-side validation.

Full-stack MERN e-commerce platform for a local bookstore, featuring a real 16-book catalog, shopping cart, user reviews, simulated order tracking, and customer support. Built for the Prodigy InfoTech Full-Stack Web Development Internship.

Task 4 of the Prodigy infotech Data science internship

Simple Keylogger (Prodigy-Infotech-Cyber-Security-Internship-Task-Code )

🛒 Customer Segmentation Project ✨ - Developed during my internship at Prodigy Infotech, this project uses KMeans clustering to segment supermarket customers based on ID, age, gender, income, and spending score. The goal is to identify target customers for better marketing strategies. 📊👨‍💻

Gemini said Task-02 utilizes Stable Diffusion XL to transform text into imagery via a U-Net architecture, bridging a reactive Neo-Brutalist frontend with remote GPU clusters through a Flask-based Client-Server model for instantaneous Base64 DOM injection.