دعاء ع.

Machine Learning

• Developed machine learning models for real-world applications, improving accuracy by 15%.

• Conducted workshops and mentored over 30 students in AI technologies.

• Participated in research focused on deep learning and AI innovations.

• Built a CNN model for facial emotion recognition with 90% accuracy.

• UtUtilized Python, TensorFlow, and OpenCV for preprocessing and model training.

• AApplied in sentiment analysis and human-computer interaction.

BDeveloped a deep learning model to classify fruit images with 95% accuracy.

• Optimized performance using data augmentation and hyperparameter tuning.

• Created a 3D tree visualization using Three.js, illustrating human impact on the environment.

• Integrated face-api.js for real-time facial emotion recognition.

This project analyzes student performance data and builds an AI model to predict academic levels and identify key factors influencing success. It leverages machine learning techniques and data analysis to extract valuable insights that support educational improvement.

تخصص علوم حاسب