It's a Machine Learning project to find the ATM transaction fraud detection from a user specific data.

It's a Machine Learning project where the sentiments of interviewee has been analyse and found.

• Create Key-value extraction and Automatic table detection using python and AWS services like Lambda, S3, SNS, SQS, Textract.
• Image Classification, Segmentation and Face Recognition using python and AWS services like Sagemaker, Lambda, and S3.
• Document Classification using Amazon Comprehend, Lambda, and S3.
• Using AWS-EC2 for deployment of main UI package to interact with lambda service using AWS API-Gateway.

• Extracting valuable information from a searchable pdf using Logistic Regression model of Machine Learning.
• It includes converting of pdf to searchable format then analyze the data using pdfminer library of python.

• Prepare data from searchable and provide it to RPA team

• Tabular Extraction using deep learning models.
• It includes research for detecting and extracting tables in searchable pdf's using MASK-RCNN or YOLO.
• Comparison of results getting from MASK-RCNN or YOLO