ABHISHEK BATTI

Enthusiastic recent grad with a strong interest in Al, ML, and data analytics, seeking an entry-level role to contribute to innovative solutions.

Traffic Sign Recognition in Real Time Adverse Weather Conditions

• Language – Python
• Project Domain – Computer Vision, Deep Learning.
• Libraries used – Tensorflow 2.0, keras and OpenCV.
• System consists of 3 modules.
• First Module determines the weather condition using CNN.
• The Second module pre process the incoming video to minimize the effect of weather condition (each weather condition has its respective function)
• third module detect and classify the traffic sign using the custom trained yolov7 model.

Driver Drowsiness Detection System

• Language – Python
• Project Domain - Deep Learning and Computer Vision.
• Libraries Used - Tensorflow 2.0, Keras, sci-kitlearn and Opencv.
• The system determines if the driver is Drowsy (Feeling sleepy) or not using a CNN model to classify the facial Expressions.
• CNN model was trained on 1500 images of eyes. Model accuracy – 97.8%.

Parking Space Management System

• Language – Python
• Libraries used - Opencv, Pytesseract.
• An automated system that Registers vehicles coming in and going out of the parking space, keeps track of filled and empty parking spots, assigns nearest free spot, and print receipts.
• OCR is used to read the license plate of the vehicles.