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cv

Professional CV

ecs273-winter2023

Class materials for ECS273 Visual Analytics

home-qurantine-system

An economical home quarantine system for monitoring social distancing at home. A smartphone can be connected to a PC wirelessly and social distancing can be monitored. This project can be updated and used by governments for better supervision of patients and analyzing the effectiveness of home quarantine.

honeypot-backend

We propose to build an active honeypot trap, where randomly generated emails will be used as honeytokens. These honeytokens will be used to detect any attacker/spammer. It’s assumed that the attacker is using an email database consisting of genuine email ids as well as honeytoken emails.

iot-based-security-system

An IoT based security system. When the camera senses motion in frame , it captures it , saves it in memory and sends a binary form of snap to user. Along with all these, the system maintains an excel file that notes the starting and ending time of all motions in frame

llm-analyser

machine-learning-algorithms

A collection of sample machine learning algorithms written in python.

netflix

netflix-clone

Developed a full stack Netflix-clone using ReactJS, ExpressJS and MongoDB

netflix-ui

organisationportal

Full Stack web-app for coursework project to mimic an organizational portal accessed by admin to monitor the security. Data fetched from PostgreSQL is displayed on the React frontend using rest API written in Flask.

population_dynamics

resilientdb-graphql

ResilientDB GraphQL Server

sapling_health_monitoring_system

It is a autonomous robot equipped with sensors and cameras with deep learning algorithms to monitor and maintain crop health and act as an aid to farmers and huge estate or nursery owners

social_media_clone_backend

Course Project to maintain a database of social media data and manage it using Sqlite3 and Python GUI

virtual_assistant

Python based assistant that helps the user to get information on any topic or personality by searching it on assistant's GUI