Chemical Equipment Parameter Visualizer

A full-stack data science platform featuring a React.js Web Dashboard and a PyQt5 Desktop Client, powered by a centralized Django REST API and Pandas.

🚀 Project Overview

This tool allows chemical engineers to upload equipment data (CSV), analyzes key metrics (Flowrate, Pressure, Temperature), and visualizes the results on both a Web Dashboard and a Desktop Application.

Tech Stack

• Backend: Python Django + Django REST Framework (API)
• Web Frontend: React.js + Chart.js
• Desktop Frontend: Python PyQt5 + Matplotlib
• Data Analysis: Pandas
• Database: SQLite

📂 Repository Structure

• backend/ - Django project settings
• core/ - Main App logic (API & CSV Processing)
• frontend_web/ - React.js Web Application
• frontend_desktop/ - PyQt5 Desktop Application
• sample_equipment_data.csv - Sample dataset for testing

🛠️ Setup & Execution Instructions

Prerequisites

• Python 3.8+
• Node.js & npm
• Git

1. Backend Setup (Run this first)

# Clone the repository
git clone <YOUR_GITHUB_REPO_LINK_HERE>
cd chemical-equipment-visualizer

# Create and Activate Virtual Environment
python -m venv venv
# Windows:
source venv/Scripts/activate
# Linux/Mac:
source venv/bin/activate

# Install Dependencies
pip install -r requirements.txt

# Run Migrations & Start Server
python manage.py migrate
python manage.py runserver

### Challenges & Learnings
"One of the main challenges I faced was handling the CORS headers between the React frontend and Django backend. I also learned a lot about using FormData to correctly send files via Axios."

Note: A superuser account is required. Username: admin Password: admin123