Arshaq Ibrahim
Portfolio
Particle Type Prediction Using High Energy Gamma Radiation Data
Applied supervised learning to predict particle types from high-dimensional gamma radiation sensor data.
Airline Sentiment Analysis Using NLP
Performed sentiment classification on airline-related reviews using NLP preprocessing and supervised learning.
Mobile Phone Price Categorizer Using ML
Designed a multi-class classifier to predict mobile phone price ranges based on technical specifications.
Moving Object Detection |
Designed and implemented a computer vision system using background subtraction and motion tracking algorithms to detect and highlight moving objects in video feeds.
IoT-Based Smart Sewage Monitoring System
Designed a real-time IoT system for monitoring sewage levels and generating alerts using embedded sensors and microcontrollers.
NLP-Based Email Spam Filter
Built a text classification model using NLP techniques to accurately identify and filter spam emails.
Diabetic Retinopathy Detection using AI
Developed a CNN-based deep learning model to classify retinal images for multiple stages of diabetic retinopathy detection. Experimented with multiple pre-trained models (transfer learning) to assess accuracy and evaluated model performance