These are some of my Deep Learning, Machine Learning and Computer Vision Projects. More of them can be seen on my GitHub account

July 2, 2021

Project I : E-commerce Shipping

Aim of the Project To build an End-to-End Web App using Data Science & Machine Learning for an International E-commerce Company to predict whether their products will reach on committed Delivery Time or not. Life Cycle of the Project Collected the dataset from Kaggle Preprocessed the data well and built an ML model by tuning the Hyperparameters of RandomForest Classifier using RandomizedSearchCV Saved the Best Performing model in a Pickle file Built a Web App using Python at the Backend with Flask API and HTML & Bootstrap serving at the Frontend.

June 20, 2021

Project II : Face Mask Detection

Aim of the Project To build a Web App using Deep Convolutional Neural Networks to predict whether a person is Wearing a Mask or Not Life Cycle of the Project Collected the dataset from Kaggle which contained 12,000 images in total for both the classes Used Data Augmentation to generate extra data from the existing dataset Applied Transfer Learning using Pre-trained VGG16 model and built a High Performance Custom CNN Model providing an Accuracy of 99.

June 9, 2021

Project III : Object Detection - Sign Language Detection

Aim of the Project To detect Real-Time Sign Language with webcam using the Tensorflow Object Detection API Life Cycle of the Project The images used for this Project were collected from the Webcam itself The Project involved 5 distinct classes to be trained upon, capturing at least 30 images for each class Labelled the images using Label Image library Setup all the required dependencies and cloned the Official Tensorflow Models GitHub Repository.