Hi, I am
Kanhaiya Lal
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JavaScript
Heroku
GitHub Pages
Matlab
C++
GITEXPERIENCE
Ecera System
Software Engineer Trainee
Technology: React JS, Nodejs, EJS,Mongodb, Python
Duration: Sep. 2020 – Jan. 2021
Description
- Developed a social media application, some of the developed API such as user authentication, login, register, post creation, and developed an API for the marketplace.
- Worked Worked on an e-commerce web application, following the agile methodology, where we as a team designed a full-fledged e-commerce web product.
- Tech used: Javascript,NodeJs,Ejs,Mongodb.
- Responsibilities: Designed the backend for the websites and worked with the frontend team for the API integration.
PROJECTS
MERN Tech-Blog App
PROJECT DETAILS
Description:'Blog' is now commonly used for content creation and sharing on social media, this blog app is designed using MERN stack.
Features:
Tech used:
Features:
- This is full-fledged blog app having CURD Features
- Real-time API calls with Backend features,which is designed with NodeJs
- Styled with Styled_Component
Tech used:
React
Node.js
Express
MongoDB
Styled-Component
Netlify
Alumni Tracking System
PROJECT DETAILS
Description: This is an Alumni Tracking system which helps the colleges to keep track of the Alumni.
Features:
Tech used:
Features:
- Allow Alumni members to register and login themselves.
- Allow colleges to verify and Authenticate their Alumni.
- Provision for An Alumni to update their details.
- Event and Notice creation.
- Job Posting facilities.
Tech used:
HTML5
CSS3
EJS- Node.js
- Express
- MongoDB
Heroku
Crop Yield Prediction
PROJECT DETAILS
Description: An A.I model which is able to predict crop yields based on given parameters.
Features:
Tech used:
Features:
- Able to predicts crop yield based on given parameters such as temperature, pressure, humidity and geographical locations.
- a full-stack web application that is using Flask serving Bootstrap, Html, and Java-Script as the frontend.
Tech used:
Python
Deep learning
Flask
Audio system toolbox
PROJECT DETAILS
Description: The toolbox can be used to perform audio operation just by giving audio as input and corresponding output can be visualized as a graph and one can verify it by hearing the sound.
Features:
Tech used:
Features:
- Audio processing and speech processing.
- Silence removal and noise removal.
- Correleation and mid side procesing
Tech used:
Matlab
Movie Search Web App
PROJECT DETAILS
Description:This is web based movie search applications ,this blog app is designed using MERN stack.
Features:
Tech used:
Features:
- Login/Register/Logout
- Authentication
- Search Movie from the OMDB movie API
- Show the List Of Movies
- Create Playlist from the List Of Movies
- Remove Movie from the playlist
Tech used:
- React
- Node.js
- Express
- MongoDB
- Styled-Component
- Netlify
