JENISH KHUNT

• Analyzed problems and worked with teams to develop solutions.
• Sorted and organized files, spreadsheets, and reports.
• Participated in workshops and presentations related to projects to gain knowledge.
• Interacted with customers by phone, email, or in-person to provide information.

ECG-Image-based-heartbeat-classification-for-arrhythmic-detection

GitHub: https://github.com/jenishkhunt01/ECG-Image-based-heartbeat-classificatoin-for- arrhythmic-detection

• The aim of project is to classify arrhythmic (a very deadly heart disease).
  
• It scans the image of the heartbeat data and identify weather or not he/she might be suffering with arrhythmic.
• After initial setup, anytime just by a click, the program will automatically join all the classes as per timetable in excel sheet.
  
• To use the user needs to upload the image of the heart rate into the server to find out the result.
  
• It uses concept of artificial neural networks and conventional neural network.
  
• The model get precise and precise the more it is used.
  

Demo site Link- https://ng-proj-tau.vercel.app/

• Lead front-end developer
• Coded using HTML, CSS and JavaScript to develop features for both mobile and desktop platforms.
• Other technologies involved reactJs, Nodejs, web3 connect.
• Produced websites compatible with multiple browsers.
• NFT based project website for marketing and sales purposes
  

GitHub: - https://github.com/jenishkhunt01/Banking-Web-App

• The aim of the project was to create a banking application.
• The web application grants access to its user by creating a savings and primary account upon
  registering in the website
• It comprises of full stack development project including both front and backend application inside
  it.
• The front end part of it is developed using html , css and javascript.
• There is the unique implementation of spring boot technology along with hibernate framework to
  interact with the database.
• It is designed in such a way that the website could interact with mysql database without any explicit
  programming.
• The best part of it is it runs on the server provided by the spring boot technology, Apache.
• It also enables user to transact between one account to another (primary to saving and vice-versa)
  along with transaction between two users of the application.
  

GitHub: https://github.com/jenishkhunt01/Transaction-Using-Face-Recognition

• The aim of this project is to make a transaction process more secure.
  
• This project is based on the idea of modern face detection that is used for unlocking devices.
  
• By implementing this in the transaction stage, makes the process more secure.
  
• Two different technologies are used for the creation of this project. Java spring boot and machine learning using tensor flow python.
  
• This is the advanced version of the previous project with extra level of security.