Projects I've Done

Project 1

Warehouse Management System

Implemented a warehouse Management System for Barcoding Technologies.

Project 2

Convulational Neural Network On CIFAR100 Datasets

For this project, I developed a Convolutional Neural Network (CNN) using TensorFlow's Functional API to perform image classification on the CIFAR-100 dataset. CIFAR-100 is a widely used dataset consisting of 60,000 32x32 color images across 100 different classes, each containing 600 images.

Project 3

Convulational Neural Network On FASHION MNIST Datasets

For this project, I developed a Convolutional Neural Network (CNN) using TensorFlow's Functional API to perform image classification on the Fashion MNIST dataset. The Fashion MNIST dataset is a collection of 70,000 grayscale images categorized into 10 different clothing items, each represented in a 28x28 pixel format.

Project 4

Linear Regression for Predicting Stock Prices

As part of my data analysis and predictive modeling endeavors, I developed a linear regression model to forecast stock prices based on historical data. This project aimed to leverage machine learning techniques to predict future stock prices, providing valuable insights for investors and financial analysts.

Project 5

Voice Classification Using Decision Tree

In this project, I developed a decision tree-based model to classify voice recordings based on their acoustic features. The goal was to leverage machine learning techniques to accurately categorize voice samples into predefined classes, such as gender (Male/Female), using their acoustic characteristics.