STATE UNIVERSITY OF NEW YORK AT BUFFALO, NEW YORK

Coursework:

Semester 1 :
1. Information Retrieval - CSE 535
2. Distributed Systems - CSE 586
3. Analysis of Algorithms - CSE 531
4. Computer Vision and Image Processing - CSE 573

Semester 2 :
1. Introduction to Machine Learning- CSE 574
2. Social Network Analytics : MGS 653
3. Data Models and Query Language - CSE 560
4. Seminar : Making technology to change people: Methods in HCI and UX design for human learning, collaboration,

GPA: 3.45 / 4.00

Projects:

1. Multi-Topic IR chatbot | Python, Flask, Apache Solr, Tensorflow
• Developed a multi-topic information retrieval chatbot capable of performing 15+ turns of coherent utterances.
• Indexed 200k+ multi-lingual Reddit data in Apache Solr and used it as the chatbot dataset.
• Used a pre-trained BERT model to classify chitchat and Reddit data, calculated the similarities of the top 20 retrieved documents with the user query, and responded with the document having the maximum similarity.


2. Face Detection and Clustering | Python, OpenCV
• Developed a computer vision project using OpenCV and a face recognition library to detect and cluster faces.
• Performed face detection using OpenCV's built-in Haar-cascades classifier and cropped the detected faces.
• Utilized k-means algorithm to cluster faces with the same identity.
• Improved image organization by grouping similar faces together, achieving the project goal of efficient face recognition and image processing.


3. Camera Calibration and Rotation Matrix Determination | Python, OpenCV
• Developed a computer vision project to determine the camera calibration matrix and rotation matrix using Python.
• Implemented OpenCV library to extract intrinsic and extrinsic parameters of the camera.
• Utilized a chessboard pattern for image calibration and used singular value decomposition to calculate the rotation matrix.
• The project improved the accuracy of image recognition and augmented reality applications.

Pimpri Chinchwad College of Engineering, Pune

Relevant Coursework: Data Structures and Algorithms, Distributed Systems, Software Design and Modelling, Internet of things, Ubiquitous Computing, Information and Cyber Security.

Projects:

1. Remicare : Medicine Intake Tracker Android App | Dart, Flask, OpenCV, NLTK, Android
• Designed and developed the user interface of the Android app using Dart.
• Built the back-end of the app using Flask, with the integration of OpenCV for image processing and NLTK for natural language processing.
• Implemented image recognition and text extraction techniques to automatically extract information from images of medicine

International conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications (ICMISC 2022)

• Organized by : Department of Computer Science & Engineering, CMR Institute of Technology, Hyderabad, Telangana, India
• Publication : Springer
• Link to the Journal

International Journal of Innovative Research in Computer and Communication Engineering

• Publication : IJIRCCE
• Link to the Journal