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Data Science Intern

AlgoAnalytics Pvt. Ltd., Pune

Designed, Developed and Deployed a Semantic Search and Question-Answering System alongside writing the MS Thesis on the same.

• Natural Language Processing
• Semantic Search
• Question-Answering

Summer Research Intern

Indraprastha Institute of Information Technology

Worked on Object Detection on Indian Food Platters using Transfer Learning with YOLOv4, presented the work at an IEEE Workshop.

• Computer Vision
• Object Detection

MTech

Indian Institute of Science (IISc)

Artificial Intelligence

Bachelor of Science - Master of Science (BSMS) Dual Degree

Indian Institute of Science Education and Research (IISER) Pune

Mathematics

• Data Science
• Probability and Statistics
• Linear Algebra
• Algorithms
• Graph Theory
• Analysis
• Single and Multivariable Calculus
• Bioinformatics

Object Detection in Indian Food Platters using Transfer Learning with YOLOv4

IEEE

Object detection is a well-known problem in computer vision. Despite this, its usage and pervasiveness in the traditional Indian food dishes has been limited. Particularly, recognizing Indian food dishes present in a single photo is challenging due to three reasons: 1. Lack of annotated Indian food datasets 2. Non-distinct boundaries between the dishes 3. High intra-class variation. We solve these issues by providing a comprehensively labelled Indian food dataset- IndianFood10, which contains 10 food classes that appear frequently in a staple Indian meal and using transfer learning with YOLOv4 object detector model. Our model is able to achieve an overall mAP score of 91.8% and f1-score of 0.90 for our 10 class dataset. We also provide an extension of our 10 class dataset- IndianFood20, which contains 10 more traditional Indian food classes.