SDE @Joveo | Backend Developer

Mohit Sharma  • Peerlist

This is a simple peer to peer messenger service which provides features like create a user ,login, logout , send message to a user, fetch unread messages, fetch chat history between two users.

peer to peer messenger system

Simple CRUD application made with Spring Boot
- Spring Boot
- Spring Security
- Thymeleaf
- H2 database
- Bootstrap

Student Details Management

In this project we are predicting the air quality index for the city and till.We applied different ML models like Linear regression, Random forest and Deep Learning model like Forward-feeding ANN(Artificial Neural Network) which turned out to be the best model in terms of predicting our output values and integrated it with the web application where in the backend part we are paasing the dataset of a location through the api like google api,weather api and the output of aqi is being predicted there in the backend with DL model deployed.

Air Quality Index Prediction

An interesting Colour-guessing game which is built in plain javascript, HTML5 and CSS having two modes easy(3 squares of colours will be displayed) and hard(6 squares of colours will be displayed) which you can select during playing it.The way you play this game is you are given a random RGB value something like RGB(213,83,156) representing values 213 for red ,83 for green ,156 for blue respectively on top of the game interface.Everytime you load the page for game or when you select play again button in the game you are going to get different RGB values and your job is to guess the correct colour which matches the given RGB value in the game.If you guess it correctly correct! message will be displayed along with making every square of colours same to the colour of correctly guessed one and if you failed to guess it correctly it will show you Try again! message and will keep removing the colour square which has been clicked and doesn't matches the required RGB value until you guess it correctly.
Contact info(E-mail: mohit.madhuban1997@gmail.com)

RGB-Colour-Game

In this project i have done data processing,data visualization ,data analysis to get insight and inferences from the data set.The job was to predict the categorical output as YES or NO based on provided parameters of dataset and i used different machine learning models like Linear regression, K-nearest neighbor, Random forest and found that Random forest approach proved to be the best among all.