Intern-Project (Dynamic-Review-Analysis)

Dynamic-Review-Analysis is an AI-powered platform designed to help users scrape, analyze, and visualize reviews from websites.

• Scrape reviews from the websites
• Display results in a clean, user-friendly dashboard

---

🛠️ Tech Stack

                    

Project Overview

Current Features:

• Web scraping engine (static + dynamic pages)
• Sentiment analysis & keyword extraction
• Dashboard with KPIs + charts

Future Work (Planned):

• Chat interface for querying reviews (via Retrieval-Augmented Generation - RAG)
• Vector database integration for semantic search

---

Objectives

• Provide insights into user reviews (sentiment, common themes, trends).
• Keep the platform simple & intuitive for non-technical users.

---

Core Features (Implemented)

1. Web Scraping

• Extracts reviews with BeautifulSoup / Playwright
• Handles pagination & dynamic content

2. Dashboard

• KPIs:
  • Total reviews
  • Avg. rating score
  • Recent Orders
  • Recommendation
• Visuals:
  • Bar chart (Rating)
  • Line chart (Montly Review)
• Latest Review:
  • Latest five review

---

Getting Started

Note

Setup is quick & beginner-friendly.

Step 1:
Clone the repository

git clone https://github.com/buildwithfiroz/AI-Team-Intern-Collaboration.git

Step 2:
Create a virtual environment

python3 -m venv myenv

Step 3:
Activate the virtual environment

• On macOS/Linux:

  source myenv/bin/activate

• On Windows (PowerShell):

  .\myenv\Scripts\Activate.ps1

Step 4:
Install the dependencies

pip install -r requirements.txt

Step 5:
Run the app

cd main
python app.py

---

How to Use

Follow these simple steps to use the platform:

Step 1: Landing Page

You will first see the Landing Page.
Click Get Started or Login to continue.

---

Step 2: Login / Register

• If you already have an account → Enter your Email ID & Password.
• If you don’t → Click on Sign Up and create a new account.

---

Step 3: Enter Product URL

Paste the Product URL into the input box and click on Analyze.

---

Step 4: Dashboard View

The Dashboard will appear.
Here you can see:

• Product Image
• Product Information
• KPI
• Latest Reviews
• Charts

---

System Requirements

To run this project smoothly, make sure your system meets the following minimum requirements:

For All Platforms (Linux / macOS / Windows)

• Disk Space: 500 MB free (project files + dependencies)
• RAM: 2 GB minimum (4 GB recommended for Playwright scraping)
• Python: 3.11+
• Internet: Required (to scrape reviews and install packages)

---

👨‍💻 Team Contributions

Member	Contribution
Nehal Ahmad Khan	~58%
Romman Khan	~25%
Mohammed Huzaifa Shaikh	~17%

---

Author - Contact Information

This project is proudly built and maintained by Nexgeno AI Dept.

---

Made with ❤️ by AI Dept Nexgeno