SDE-2 at Expedia Group | Codeforces Expert

Akshit Devpura  • Peerlist

Detecting and counting human heads in a coloured image using basic concepts of Image Processing which will then be used to take attendance in class. This was implemented using OpenCV-Python. Received about 70% accuracy in detecting the total number of students in a class. This was made using basic concepts of image processing such as erosion, dilation, thresholding, median filtering.

Head count of persons present in a room(Image Processing cou

An android app to display basic details of a Codeforces profile when searched and also provide
few tutorials for popular topics in programming.

HashInclude – Android App

Worked on a large dataset called Drebin dataset and used Multi-Layered Perceptron DL model
to detect malware (accuracy - 96%) and malware family(accuracy - 81%).

Malware Detection In Android Using Deep Learning

Low-Level Design

Design

Multithreading

Microservices

Product Development

Programming

Back-End Web Development

Problem Solving

Data Structures

Algorithms