B.E. in Information Technology

PICT is a well-known college in Pune. I completed my B.E. in Information Technology. During my tenure at PICT, I completed four internships in the field of ML and DL, published two international research papers and had been two times smart India hackathon finalist.

Diploma in Computer Engineering

Gondia is a small town near Nagpur, I have spent my 3 years here learning the basics of computer science, Explored various domains such as web and android development, Cyber Security, UI/UX and game development. I also got the opportunity to lead various projects.

CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents

CascadTabNet is an automatic table recognition method for interpretation of tabular data in document images. We present an improved deep learning-based end to end approach for solving both problems of table detection and structure recognition using a single Convolution Neural Network (CNN) model. CascadeTabNet is a Cascade mask Region-based CNN High-Resolution Network (Cascade mask R-CNN HRNet) based model that detects the regions of tables and recognizes the structural body cells from the detected tables at the same time. We evaluate our results on ICDAR 2013, ICDAR 2019 and TableBank public datasets. We achieved 3rd rank in ICDAR 2019 post-competition results for table detection while attaining the best accuracy results for the ICDAR 2013 and TableBank dataset. We also attain the highest accuracy results on the ICDAR 2019 table structure recognition dataset

HOG, LBP and SVM based Traffic Density Estimation at Intersection

We propose an efficient way to estimate the traffic density on intersection using image processing and machine learning techniques in real time. The proposed methodology takes pictures of traffic at junction to estimate the traffic density. We use Histogram of Oriented Gradients (HOG), Local Binary Patterns (LBP) and Support Vector Machine (SVM) based approach for traffic density estimation. The strategy is computationally inexpensive and might run efficiently on raspberry pi board

Dynamic Human Authentication Using Videos

Deep-learning, Computer-Vision and System Design

• Work on Human Authentication project using Computer Vision, multiprocessing and Django
• Developed Real-time Human Authentication using camera video of Gate entrance with dynamic human registration
• Built and integrated state of the art algorithms for Face Detection, Recognition with Gait Recognition and Pose Estimation
• To enhance security, We also added anti-spoofing
• Deployed the system on Django and employed multiprocessing to improve performance significantly 

Faculty-Student Feedback Management System

MySQL, JSP and System Design

• JSP and MySQL based online system to record feedback of students of all departments of PICT.
• Report generation and visualization of feedback data

Automatic 3D Object Inspection System

Deep-learning, Computer-Vision and System Design

• Automatic system for dimension extraction of 3D objects for quality inspection
• Improved accuracy significantly over previous systems and reduced manual work by automating the process
• High tolerance and accuracy based object dimension extraction system using cameras and FAIR report generation. 3D reconstruction using multiple cameras Alice Vision API.

Smart Traffic Junction

Deep-learning, Computer-Vision and System Design

• The main objective of this project was to adjust the traffic light and there on off time based on traffic and to provide an interface for traffic management to record and control all traffic junction live feed
• Used HOG + LBP and SVM based Machine Learning approach to make it deployable with limited hardware

Online Inspection of Packed Tobacco Cases

Deep-learning, Computer-Vision and System Design

• Machine Learning based real time Tobacco leaves grade classification based on color and texture.
• Unsupervised learning techniques like PCA and LDA. Feature extraction using Gabor, Haralick, LBP and HOG
• Deployed Using QtPy

Event Management Android Application With Firebase

App Development, Database Schema Design and System Design

Android App for registration of participants in Enthusia Event

Vehicle Number Finder App

Computer Vision, Android and System Design

Scans the vehicle number plate, and extracts information about the owner of the vehicle

Neural Networks and Deep Learning

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Structuring Machine Learning Projects

Convolutional Neural Networks