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RespireNet is an innovative web-based application that harnesses the capabilities of deep learning and Mel-frequency cepstral coefficients (MFCC) as a feature extraction technique for accurate respiratory disease prediction. The primary objective of this user-friendly web application is to facilitate early detection.

  • Updated Aug 2, 2023
  • Python

Discover unparalleled online shopping on SportsMall, a cutting-edge e-commerce platform built on the robust MERN stack. Dive into a wide array of products, optimize user profiles, monitor orders, and take advantage of extensive admin capabilities. Transform your retail experience with our state-of-the-art MERN technology and interactive interface.

  • Updated Nov 13, 2023
  • JavaScript

The "Cyberbullying Tweet Detection" project looks into the world of machine learning to tackle the essential problem of cyberbullying detection in online communication. This project focuses on the creation and implementation of cutting-edge machine learning models to automatically recognize and categorize tweet content containing cyberbullying.

  • Updated Jun 3, 2024
  • Jupyter Notebook

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