1. Project had multiple objectives in addition tothe major objective of detecting set of objects and applying OCR on top of it to read the digits from images/videos

2. Tracking of an detetced objects to keep the unique count of objects passing through camera frame

3. Capturing the direction of an object passing through camera frame.

4. Used YOLO(v3) for object detection, easyocr & tesseract for OCR, deepsort for object tracking and statistics & geometry concepts to make logic more reliable.

Training state of the art customised object detection model on customer data and extract useful information from the objects being detected.

Working on to understand customer cloud usage and help them recommend cloud services over existing services that can help customers save on their billing cost.

Also predicting the Virtual Machine status whether it is idle or not based on user's virtual machine usage data

Trained RNN to predict the amazon reviews as positive or negative towards product purchased by customers by using text review given by customers.