https://github.com/ramankishore08/chatbot-project-nlp
A College Admission Enquiry Chatbot built with React and Python streamlines the admission process. It provides instant responses to queries, enhancing user experience. The chatbot efficiently handles multiple enquiries, saving time and effort. This ensures accurate and real-time information for students.
https://github.com/ramankishore08/chatbot-project-nlp
chatbot flask-api flask-application natural-language-processing python react
Last synced: 2 months ago
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A College Admission Enquiry Chatbot built with React and Python streamlines the admission process. It provides instant responses to queries, enhancing user experience. The chatbot efficiently handles multiple enquiries, saving time and effort. This ensures accurate and real-time information for students.
- Host: GitHub
- URL: https://github.com/ramankishore08/chatbot-project-nlp
- Owner: RamanKishore08
- Created: 2024-09-24T04:09:04.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-03-05T12:08:13.000Z (over 1 year ago)
- Last Synced: 2025-03-18T20:40:36.794Z (over 1 year ago)
- Topics: chatbot, flask-api, flask-application, natural-language-processing, python, react
- Language: Python
- Homepage: https://chatbot-admission.vercel.app/
- Size: 10.5 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🤖 Chatbot Web Application
Welcome to the **Chatbot Web Application**, a seamless integration of **React**, **Flask**, and **REST API** to deliver an interactive chatbot experience.
## 🚀 Features
- 💬 Real-time chatbot responses for college admission.
- ⚡ Fast and efficient frontend with React
- 🌐 Backend powered by Flask
- 🔗 REST API integration
- 📦 Easy installation and setup
## 🛠️ Tech Stack
---
This project offers a comprehensive solution for building resumes, evaluating scores with suggestions, and filtering the best resumes efficiently.
It streamlines the resume management process with advanced features.
---
## 🛠️ Local Setup
Run **Backend** first, then start **Frontend**.
### Clone the Repository
```bash
git clone https://github.com/RamanKishore08/Chatbot-project-NLP.git
```
### Open file directory
```bash
cd Resume-Evaluator
```
### Open Frontend
```bash
cd backend
```
### Install necessary python libraries
```bash
pip install flask
```
### Run Flask Backend
```bash
python app.py
```
### Open Frontend
```bash
cd frontend
```
### Install the node modules
```bash
npm install
```
### Install the libraries
```bash
npm install react react-dom
```
### Run the Frontend
```bash
npm start
```
## 🎯 Usage
Once the frontend and backend are running, open the web browser and start interacting with the chatbot.(Since it is deployed with less RAM in onrender so the Response will be slow(30-40 seconds).
## 📌 Contributing
Feel free to fork the repository and contribute to enhancing the chatbot.