https://github.com/hamza-rafique/chatbot
AI based chatbot forntend on reactjs and backend on python flask
https://github.com/hamza-rafique/chatbot
aichatbot chatbot chatbotgpt customchatbot machine-learning machine-learning-practice machine-learning-projects ml
Last synced: 8 months ago
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AI based chatbot forntend on reactjs and backend on python flask
- Host: GitHub
- URL: https://github.com/hamza-rafique/chatbot
- Owner: Hamza-Rafique
- Created: 2024-09-30T11:16:32.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-07T07:36:44.000Z (over 1 year ago)
- Last Synced: 2025-06-11T13:14:00.564Z (10 months ago)
- Topics: aichatbot, chatbot, chatbotgpt, customchatbot, machine-learning, machine-learning-practice, machine-learning-projects, ml
- Language: Python
- Homepage:
- Size: 3.02 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# AI Chatbot Application
Welcome to the AI Chatbot Application! This project contains a machine learning-powered chatbot that can interact with users, provide intelligent responses, and be integrated into various web applications.
## Table of Contents
- [Introduction](#introduction)
- [Features](#features)
- [Technologies Used](#technologies-used)
- [Installation](#installation)
- [Usage](#usage)
- [API Endpoints](#api-endpoints)
- [Contributing](#contributing)
- [License](#license)
## Introduction
This chatbot is designed to simulate human-like conversations using AI. It's built with Natural Language Processing (NLP) models and can be integrated with web applications. The chatbot can handle various user queries by utilizing machine learning models, making it ideal for customer service, personal assistants, and interactive AI applications.
## Features
- **AI-Powered Responses**: Provides intelligent and context-aware replies.
- **Machine Learning Integration**: Leverages trained models to understand and generate human-like responses.
- **Customizable Intents**: You can modify or add new intents and responses as per your requirements.
- **Flexible Integration**: API-based structure that can be integrated into various applications (ReactJS, web apps, etc.).
## Technologies Used
- **Frontend**: React.js
- **Backend**: Flask (Python)
- **Natural Language Processing**: NLTK, TensorFlow/Keras
- **Data**: JSON format for intents and responses
- **Machine Learning**: LSTM model for chatbot training
## Installation
1. **Clone the Repository**
```bash
git clone https://github.com/Hamza-Rafique/chatbot.git
```
2. **Backend Setup (Flask API)**
3. **Frontend Setup (ReactJS App)**