MILAN Hostel Hackathon Project

Table of Contents

• MILAN Hostel Hackathon Project
  • Table of Contents
  • Introduction
  • Project Description
  • Features
  • Installation
  • Usage
    • Backend
    • Frontend
  • Contributing

Introduction

Welcome to our project repository for the MILAN Hostel Inter-Hostel Hackathon! This repository contains all the code and resources for our project, which is focused on categorizing laptops based on their features using a sentiment analysis model.

In this competition, we aimed to build a web application that not only helps users identify the features of laptops but also provides sentiment analysis of reviews related to those laptops.

Project Description

In this project, we have created a web application that allows users to:

• Browse and search for different laptop models.
• View detailed specifications and features of each laptop.
• Submit reviews and opinions on laptops.
• Utilize a sentiment analysis model to determine the sentiment of user reviews.

Our sentiment analysis model helps users understand the general sentiment (positive, negative, or neutral) of the reviews related to a particular laptop. This can be helpful for users who are considering purchasing a laptop and want to gauge customer satisfaction.

Features

• Laptop categorization based on features.
• Detailed laptop specifications and features.
• User review submission and display.
• Sentiment analysis of user reviews.
• User-friendly web interface.

Installation

NOTE : These commands were tested on Ubuntu 22.04 .

To run this project locally, follow these steps:

1. Clone the repository to your local machine:

2. Install the required dependencies:

3. Run the web application:

The application should now be running locally on your machine.

Usage

Git clone this repository in your machine.

Backend

Ensure you have python version install 3.11 .

pip install fastapi
pip install firebase
pip install python-dotenv
pip install uvicorn
pip install firebase-admin
pip install tensorflow
pip install pandas
pip install cython
pip install ktrain
pip install nltk
pip install stanza
pip install --upgrade pydantic fastapi typing-extensions

Frontend

Ensure that you have npm installed.

npm i --app 

Model Link

https://drive.google.com/drive/folders/1ykhVT2Dvoqj9Xo93a5ZqCi8dytVCcbh7?usp=sharing

Contributing

We welcome contributions from the community! If you'd like to contribute to this project, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix: git checkout -b feature/new-feature.
3. Make your changes and commit them: git commit -m "Add new feature".
4. Push your changes to your fork: git push origin feature/new-feature.
5. Create a pull request on the main repository.