Hi, I am Devashish Gopalani
and I am a Software Developer.
and I am a Software Developer.
I am a 26 year old, full stack developer who is willing to help the society and create a positive impact in the lives of people in whatsoever way possible!
I have completed my BE in Computer Engineering in the year 2020 and I am currently working as a Software Engineer - 2 at a start-up called as Cogno AI (Acquired by Exotel).
The technologies I have worked in are:
I have been building projects since my college years. Here are some of the cool projects I have worked on:
November 2020 - December 2020
This is an app which would help one to store their passwords. The passwords captured by the app are encrypted and then stored on Firebase. The key used for encryption is taken as an input from the user itself in the form of a paraphrase.
June 2020 - August 2020
An app which would help a doctor manage his/her appointments and also allow him/her to teleconsult with his/her patients via video call. The patients end was built on a Telegram bot. To know more about the key features, click on the below button.
August 2019 - March 2020
It is a drone-based approach of fighting fire. It includes functionalities like generation of area map, heat map, measuring of toxicity levels of an environment, collision avoidance of drone and detection of humans. A grant from Mumbai University was received for the same project and a technical paper was published in IEEE.
May 2019 – August 2019
An android application comprising of features such as market prediction, crop selection, yield prediction, pest detection and displaying of real-time vitals of soil such as moisture level with the help of sensors. A technical paper was published in IEEE for the same project.
Dec 2018 – March 2019
Used Deep Learning to detect whether a given person has pneumonia or not with the help of his/her CXR (Chest X-ray).
I have presented and published a few papers till now. Do have a look!
Jun 19, 2020 · IEEE
Abstract: In this paper, a solution is proposed that tackles most of the problems in firefighting using a drone equipped with sensors. The drone would have the ability to monitor the environment caught in fire. The proposed solution will be a semi-automated drone that would generate an area map, heat map and toxicity reports of the environment. Along with it, the drone will also provide positional information about the possible presence of living beings. All the functionalities will be implemented using basic sensors like ultrasonic sensors, MPU sensor, DHT sensor, and hardware controllers like Arduino, NodeMCU & Raspberry Pi 3.
Jun 19, 2020 · IEEE
Abstract: Determining which crop is to be grown; when the soil needs more water and fertilizers; and if the crop is infected by pests are well understood with the help of IoT sensors and the use of Machine Learning models. The proposed system aims to collect the current soil conditions to determine the water quantity and fertilizers needed by the soil. The IoT camera sensor module will help to determine if the crop is infected by pests so that the farmer will be able to take suitable actions. Soil conditions and weather conditions will be used to determine the suitable crop and will lead to maximum yield and profit. The system provides alert notifications to the farmer and other relevant information related to the crops and the soil through mobile application. It helps the farmer to take suitable actions in order to minimize the loss and maximize the crop yield.