AI Emotion Detection & Quranic Recommendation System (independent project)
Developed an AI-based computer vision system for emotion detection using deep learning models and object-oriented design. Mapped emotional states to a Quranic recommendation engine by structuring model outputs into a modular architecture for deployment. Validated model behavior through iterative debugging and testing to meet an accuracy target of ~80%. • Built and trained/iterated deep learning models for emotion classification. • Integrated recommendation logic linking detected emotions to Quranic verses. • Debugged and tested implementations systematically before deployment. • Designed modular interfaces using OOP design patterns for scalability.