Manage notes effortlessly, conduct quick searches.
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Updated
Dec 23, 2023 - JavaScript
Manage notes effortlessly, conduct quick searches.
Backend for iNotebook : online notes storage web app. User Login and Registration, CRUD operations on notes stored in MongoDB atlas Cluster. Deployed on Render
This repository contains the code of a cloud notebook app using MERN stack, Bootstrap, Animate CSS & Materials Icon etc. View README for more descriptive overview of repository.
A FULL STACK WEB PROJECT , USED REACT-JS FOR FRONTEND AND NODE-JS FOR THE BACKEND WITH MONGODB . CLOUD_NOTEBOOK ALLOWS YOU TO SIGN UP AND CREATE, UPDATE AND DELETE YOUR NOTES.
This is a Notes App made with MERN stack. This app has login signup functionality for user authentication. User can perform CRUD on its notes from anywhere by logging into its account.
This is a cloud notebook service , performs authentication and privacy of your notes made using MERN tech stack. Backend Repo:https://github.com/yashjaiswal-only/iNotebook-api
This repository contains the code for backend of iNotebook app using MERN stack etc. View README for more descriptive overview of repository.
A cloud storage notes application
This project is a complete application of MERN Stack
Personal notebook to store all your notes at one place with security access and login
In this Notebook one can perform CRUD operations with high-securely by Login to there account. no-one can access the notes without credentials.
An online web platform where you can create, edit, upload, and delete your notes and information privately and securely, all with an intuitive interface and seamless user experience. For more details, visit our About Page.
This is a NoteBook(to-do-list) app.
iNotebook is a React Application for managing personal notes on the cloud where you can create, edit, upload, and delete your notes/information privately and securely without any disturbance.
SEC Finance Data Engineering - ETL process for SEC Finance data of S&P 500 companies. Jupyter Notebooks to run ETL work flows. The final dataset is hosted in MongoDB Atlas(cloud). The API is written using Python with PyMongo and Flask libraries. The dashboards with charts are hosted in MongoDB Atlas.
MongoDB project using MongoDB Atlas, deploying architectures using Docker with Docker Compose, Jupyter Notebooks, and Python.
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