Amulya Bapatla

Designed and developed a Smart Surveillance System using Python to improve security monitoring. Utilizes computer vision techniques to analyze live video feeds. Detects motion using frame differencing and background subtraction methods. Performs face detection using OpenCV’s Haar Cascade classifiers. Automatically captures images and records video upon detecting suspicious activity.

Developed a Pathway Prognosis system using Machine Learning to predict outcomes and analyze patterns in complex datasets. Focused on identifying critical pathways and their impact on future events or decision-making processes. Evaluated model performance using standard metrics and automated the prognosis process for efficient decision-making.

Developed an encryption and decryption system using Python to secure sensitive data and ensure confidentiality. Implemented cryptographic techniques to convert plain text into encrypted format and securely decrypt it when required. Used key-based algorithms to enhance data security and prevent unauthorized access. Demonstrated practical understanding of data security, cryptography concepts, and Python programming.