FlexiLearn

An open-source Notes Sharing Platform for Educational Institutions

DESCRIPTION

Flexilearn is a web-based platform designed for educational institutions to streamline the sharing of PDF notes. It provides a structured organization of PDF notes based on subjects, units, and topics. Additionally, FlexiLearn offers task tracking features to monitor completed and incomplete tasks for better academic management.

Built with

• Frontend: React
• Backend: Node.js, Express
• Database: MongoDB
• Styling: Tailwind CSS
• File Upload: Multer
• File Rendering: iframe

Run Locally

Clone the project

  git clone https://github.com/your-username/FlexiLearn.git

Go to the project directory

  cd FlexiLearn

Install dependencies for frontend

  cd client
  npm install

Install dependencies for backend

  cd server
  npm install

Connect MongoDB

  mongoose.connect('YOUR_MONGODB_CONNECTION_URL')

Start the frontend server

  cd client
  npm run dev

Start the backend server

  cd server
  nodemon index.js

Features 🚀

• Student Side: Manage notes more efficiently based on subject unit categorisation 🎉
• Admin Side: Because only admins can handle the sacred task of adding notes. 👑
• Admin Powers: Grant access to others to become admins. Beware of the power you wield! ⚡
• Task Monitoring: Keep an eye on those pending tasks, mark them completed, feel accomplished. 📝✅

Structure 🏗️

• Subjects ➡️ Units ➡️ Topics ➡️ Notes Because who needs a straightforward hierarchy?

User Profile 👤

• Update your username and password. Forget them again. Repeat. ♻️

Challenges Faced (in a totally professional manner) 🤦‍♂️

1. Spent a day figuring out an Axios error . Figured out that it was an proxy error and fixed it by adding full URL - http://localhost:5000/api/... because why not? It worked like a charm! 😅

2. Fedora doesn't support mongosh, had to resort to MongoDB Atlas. Fedora, you let me down. 🐧

3. IP address changes mean server stops. MongoDB only allows connected IPs. Cue the sudden existential crisis. 🌐

4. Wrestling with nested objects in the subject model. Three layers deep, like an onion. Cried a little. 😢

Credits 🙌

Huge shoutout to ChatGPT! It wrote most of my code, even this README. Yeah, I'm practically an AI assistant myself. 🤖

Noob Chronicles 🤓

• Still can't tell the difference between PUT and POST. It's like asking me to differentiate between a cat and a dog. 😅

• Arrow functions? Async functions? Eh, who needs them? I'm a prompt engineer. I can make it work, even if I don't understand how. 🛠️

Contributing 🤝

Contributions are welcome! This might be one of the quirkiest projects you've ever seen . If you're a beginner, it's a golden opportunity to dive into the chaos and fix things! ✨

License 📜

This project is licensed under the [MIT LICENSE]. Remember, sharing code is cool, just like sharing notes! 🚀✨