Software Engineer at Powerschool | Ex Exotel | Ex Colt

Avishka Agarwal  • Peerlist

Several relationships have been established between the general habits of humans and their mental health. Based on them, Machine Learning algorithms have been used to predict depression and anxiety in this project.
An accuracy of 82 percent in the results was achieved. 

Forecasting Mental Health diseases

In this project, Machine Learning classifiers have been used to achieve high accuracy in the detection of attacks in the UNSBW -NB15
dataset. High accuracy of 86.15 percent has been achieved. The Intrusion detection system provides firewall security and screens computer systems and network traffic.


Network Intrusion Detection

Implementation of the Dijkstra Algorithm to find the shortest path and
the estimated traveling cost among two points in the maze. Tools used: C++ along with graphics.


Rat in a Maze

SOLID Design Principles

Optimization

User Requirements

Functionality

Constructive Feedback

Attention to Detail

Quality Control

High Quality Standards

Creative Problem Solving

Software Quality Assurance