Python
AQUA SILENCER
Artificial Intelligence Based Solar Vehicle
ATT Squeeze U-Net A Lightweight Network for Forest Fire Detection and Recognition
Auto Braking System
Automated Brain Tumor Segmentation and Classification in MRI using YOLO-based Deep Learning
Python, Deep Learning, Generative AI, Projects, Artificial Intelligence, Deep Learning, Generative AI
The aim of this research is to develop a more effective and efficient brain tumor segmentation system using the YOLOv11 architecture. The focus is on enhancing the accuracy and reliability of tumor identification in brain imaging, specifically through advanced segmentation techniques. By leveraging deep learning models, the study seeks to provide an automated solution for real-time tumor segmentation, assisting in clinical decision-making and early diagnosis.
Automated Smart Attendance System Using Face Recognition
Automatic Accident Avoiding System for Machines
Automatic Billing Trolley for an Enhanced Supermarket using RFID
Automatic Break Failure Indicator and Engine over Heating Alarm
Automatic Clutch and Brake System for Four Wheelers
Automatic Dam Shutter Control System
