Key accomplishments
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Developed an AI-enhanced Intrusion Detection System (IDS) for institutional networks, improving real-time attack detection accuracy and reducing false positives.
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Built a DeepFake detection system (video, image, audio) using an ensemble of CNN models, integrated into a web interface with FastAPI for real-world usability.
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Designed a hybrid real-time face detection model (ResNet50 + DenseNet121) optimized for speed and accuracy under diverse conditions.
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Contributed to a Smart City prototype with multiple integrated systems, including computer vision–based smart parking, IoT-enabled irrigation, alcohol detection, and energy-efficient recycling.
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Completed several applied AI projects during the AMIT AI & Data Science Diploma (234 hrs), including:
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Energy consumption prediction (92% accuracy using Logistic Regression).
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Distance estimation from images (regression model with <2% error rate).
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Network intrusion detection (XGBoost, 96% detection accuracy).
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Education
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September 20 2021 - September 2 2025
Delta University for Science and Technology
B.Sc. in Artificial Intelligence
I am pursuing a Bachelor’s degree at the Faculty of Artificial Intelligence, majoring in Cybersecurity at Delta University. My studies focus on areas such as network security, cryptography, ethical hacking, digital forensics, and artificial intelligence.
Experience
- January 16 2025 - September 3 2025
Portfolio
Languages
Honors & awards
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2022
Project Smart City (Hardware and Software)
My faculty organized a competition among the students to select the best projects. Out of 40 projects, mine was awarded 2nd place.