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IU Projects

DLBDSOOFPP01 — Object-Oriented and Functional Programming with Python

Habit-Tracking Application

Stay on track with your goals and build positive routines effortlessly. The habit-tracking app empowers you to monitor and manage your daily habits, fostering a path to a healthier, more productive lifestyle.

Grade: 97 out of 100

DLBDSMLUSL — Machine Learning - Unsupervised Learning and Feature Engineering

Task 2: Policing Equity

This task aims to evaluate a large dataset of policing activities collected over a few years to discover patterns and find homogeneous categories of incidents. Also, it aims to reduce the dataset's complexity, produce meaningful visualizations that capture its key features, and provide descriptive statistics for each cluster.

Grade: 94 out of 100

DLBSEPCP01_E — Cloud Programming

Task 1: Host a simple webpage on AWS

Design and implement a highly available, low-latency website on AWS using Amazon S3 bucket for hosting and CloudFront for content delivery using Infrastructure as Code (IaC) tools like Terraform for reproducibility. The goal of the task is to host an “index” HTML file, guaranteeing high availability, minimizing latency, and enabling auto-scaling for optimal performance.

Grade: 100 out of 100

DLBAIPCV01 — Project: Computer Vision

Task 2: Recognizing Objects in Video Sequences

This project aims to develop a computer vision system that accurately detects and segments objects in video. I used state-of-the-art object detection and segmentation algorithms. Firstly, I implemented three SoA approaches: YOLO, SSD, and Faster R-CNN and evaluated their performance. Then, I analysed the results visually and highlighted their strengths and weaknesses. Next, I determined the best-performing approach based on evaluation and analysis. Link: https://drive.google.com/drive/folders/1NdpVsZzHaaUc4d0PXXzEveJfNaLGTQd4?usp=sharing

Grade: 87 out 100