CrowdLift

"Fuel Innovation, Crowdfund Your Success with CrowdLift"

CrowdLift is an open-source crowdfunding platform designed to support open-source projects, products, and startups. This repository contains separate modules for the Frontend, Backend, Payment Gateway integration, and an ML Chatbot.

Table of Contents

• Introduction
• Features
• Tech Stack
• Setup
• Usage
• Contributing
• License
• Contributors

Introduction

CrowdLift is a platform where innovators can raise funds for their open-source projects, products, and startups. The platform is built with a modular approach to ensure scalability and ease of maintenance.

Features

• Frontend: Built using HTML, CSS, and JavaScript for a responsive and interactive user interface.
• Backend: Developed with FastAPI and MongoDB to handle API requests and manage data efficiently.
• Payment Gateway: Integrated RazorPay for handling transactions securely.
• ML Chatbot: Trained using the RAG (Retrieval-Augmented Generation) technique to assist users with queries and support.

Tech Stack

Frontend

• HTML
• CSS
• JavaScript

Backend

• FastAPI
• MongoDB

Payment Gateway

• Using Razorpay PaymentSDK

Machine Learning Chatbot

• RAG (Retrieval-Augmented Generation) technique
• Jupyter Notebook for training and testing

Setup

Prerequisites

• Python 3.8+
• Node.js
• MongoDB

Installation

1. Clone the repository:

   git clone https://github.com/Soumo275/CrowdLift.git
   cd CrowdLift

2. Frontend Setup: Navigate to the frontend directory and open index.html in your browser.

   cd frontend

3. Backend Setup: Create a virtual environment and install the required dependencies.

   cd backend
   python3 -m venv env
   source env/bin/activate  # On Windows use `env\Scripts\activate`
   pip install -r requirements.txt

   Start the FastAPI server:

   uvicorn main:app --reload

4. Payment Gateway Setup: Follow the instructions in the payment_gateway directory to set up and configure the payment gateway.

5. ML Chatbot Setup: Navigate to the chatbot directory and run the Jupyter Notebook to train and test the chatbot.

   cd chatbot
   jupyter notebook Chatbot.ipynb

Usage

• Access the frontend via index.html to interact with the platform.
• Use the FastAPI backend to handle API requests for the platform.
• Process payments securely through the integrated payment gateway.
• Get assistance through the ML Chatbot integrated into the platform.

Contributing

We welcome contributions! Please follow these steps to contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/YourFeature).
3. Commit your changes (git commit -m 'Add YourFeature').
4. Push to the branch (git push origin feature/YourFeature).
5. Open a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributors

• Soumo275
• MrigankaDebnath03
• Prabuddha747
• Sainy-Mishra