Deep learning, computer vision, and natural language processing projects demonstrating applied AI skills
Deep learning project using Convolutional Neural Networks for brain tumor detection and segmentation from MRI scans.
Explore more: github.com/malakasaber/Brain-Tumor-Classification-Segmentation
Machine learning project applying NLP techniques to classify text sentiment as positive, negative, or neutral.
Explore more: github.com/malakasaber/Sentiment-Analysis
Implemented fundamental ML and DL algorithms from scratch in Python with NumPy—exploring the inner workings of each model.
Explore more: github.com/malakasaber/Machine-Learning-Models-From-Scratch
Created a web app using Django to serve machine learning models—turning offline models into interactive web-based services.
Explore more: github.com/malakasaber/Model-Deployment-using-Django
A Flask app predicting hotel booking status using machine learning models, wrapped in an interactive web interface.
Explore more: github.com/malakasaber/HotelReservation-BookingStatusPredictor-withFlask
Deployed a Random Forest-based hotel reservation status predictor, integrating the model into a deployable application.
Explore more: github.com/malakasaber/Random-Forest-Hotel-Reservation-Model-Deployment
A web crawler built in Python for collecting and processing web data to support information retrieval tasks like indexing and search.
Explore more: github.com/malakasaber/IR_WebCrawler