Academic projects: 1. Theft n wall and antitheft. ● Developed a mobile application using Python, Android Studio, and Flask to enhance security and usability. ● Features include app-specific internet control, spam message filtering, child lock for restricted usage, and theft detection with SIM change alerts and remote locking. 2. Clinical diagnosis and prediction system for autism. ● Developed an advanced diagnostic system utilizing MRI brain image analysis to improve the accuracy and efficiency of Autism Spectrum Disorder (ASD) diagnosis. ● Applied preprocessing techniques (e.g., reorientation, motion correction, skull stripping) and implemented neural networks like VGG16 and EfficientNet for reliable predictions. ● The system enhances diagnostic precision, accelerates early detection,and supports clinicians in making data-driven decisions for effective ASD management.