Designed autonomous robots specialized for competitive sumo wrestling.

Starts with a 5-second delay to comply with sumo competition rules before any movement.
Default behavior is aggressive forward motion at full speed (255) to push opponents immediately.

Highest priority: edge detection using line sensors to prevent falling.
If a white line is detected:
Stops instantly
Moves backward
Rotates away from the edge

After ensuring safety, the robot checks opponent sensors:
Front sensor → move forward aggressively (attack mode)
Left sensor → turn left toward opponent
Right sensor → turn right toward opponent

If no opponent is detected, the robot enters a spiral search pattern to scan the arena.

Strategy combines:
Reactive safety (edge avoidance)
Aggressive attack (front push)
Search behavior (spiral scanning)

Created a food ordering website with dynamic menus, shopping cart functionality, and Telegram-based order notifications. LINK HERE

Designed and developed a full-stack web platform for a donut shop with customer-facing pages, admin dashboard, menu and offers management, contact system, newsletter signup, bilingual support (English/Arabic), and integrated chatbot. Built using modern frontend and backend technologies with secure authentication, database management, and responsive UI. LINK HERE

Designed an end-to-end multimodal pipeline integrating speech emotion recognition, ASR, and transformer-based sentiment analysis for automated customer satisfaction prediction.

Leveraged a flight price prediction dataset, applied preprocessing, and trained ML models to extract insights.

The final model was able to:

• Predict flight prices with reasonable accuracy
• Provide insights into pricing patterns
• Serve as a basis for a real-world application

Predicted road accident severity using ML techniques to enhance traffic safety and resource allocation.

Developed a CNN-based model for automated bone fracture classification from X-ray images, incorporating normalization and Grad-CAM for interpretability, achieving strong results.

Developed an intelligent NLP-based system to identify signs of mental health conditions in Arabic social media posts.

Built a Movie Booking System to streamline ticket reservations and seat management in theaters.

Developed a website to recommend optimal solar cell solutions based on electricity bill inputs, using advanced equations for personalized results.

Implemented a recommender system to suggest movies based on user interests and past preferences.

Built and normalized a relational database (up to BCNF) for managing inventory, orders, suppliers, and shipments, using ER/EER modeling and SQL.