⚗️ Chemical Equipment Parameter Visualizer

Hybrid Web + Desktop Analytics Suite

   📖 Project Overview

This application is a full-stack hybrid solution designed for the chemical industry. It enables engineers to upload CSV data, perform automated analytics via a Django backend, and visualize critical parameters (Flowrate, Pressure, Temperature) across both Web and Desktop environments.

✨ Key Features

🌐 Dual-Frontend Architecture: Modern React web app and a robust PyQt5 desktop application.

📊 Advanced Analytics: Automated processing using Pandas for statistical summaries.

📈 Dynamic Visualization: High-fidelity charts using Chart.js (Web) and Matplotlib (Desktop).

📜 History Tracking: Automatic persistence of the last 5 datasets for quick comparison.

📄 PDF Reporting: One-click generation of professional PDF summaries.

🔒 Secure Access: Integrated authentication layer to protect industrial data.

🛠️ Tech Stack

Layer,Technology,Purpose

Backend,+ DRF,Centralized REST API & Business Logic

Data Engine,,CSV Parsing & Automated Statistical Analysis

Web Frontend,+ Vite,Responsive browser-based UI with fast HMR

Desktop Frontend,,High-performance native desktop environment

Visualization,Chart.js / Matplotlib,High-fidelity interactive data plotting & charting

Database,,Production-grade storage (Hosted on Neon)

Type Safety,+ Zod,Shared schemas for end-to-end API consistency

📁 Project Structure

. ├── analytics/ # Django App: Logic, Parsing & Models

│ ├── migrations/ # Database migrations

│ ├── models.py # Equipment & History schemas

│ └── views.py # API logic for data processing

├── client/ # React.js Web Application (Vite)

│ ├── src/ # Frontend components & hooks

│ └── public/ # Static assets

├── desktop/ # PyQt5 Desktop Application

│ ├── main.py # Desktop Entry point

│ └── ui_components/ # Matplotlib integration logic

├── industrial_api/ # Django Project Settings & Routing

├── shared/ # Shared TypeScript API contracts

├── manage.py # Django CLI tool

└── requirements.txt # Python dependencies

Setup Instructions

1️⃣ Backend (API)# Create & Activate Virtual Environment python -m venv venv .\venv\Scripts\activate# Install & Migrate pip install -r requirements.txt python manage.py migrate# Start Engine python manage.py runserver

2️⃣ Web Frontendcd client npm install npm run dev

3️⃣ Desktop Frontend

cd desktop python main.py

Testing with Sample Data A file named sample_equipment_data.csv is provided in the root directory. Use this file to test: Upload functionality via the Web or Desktop dashboard. Chart generation to verify parameter scaling. PDF export to ensure report formatting is correct.

Submission Details Developer: 1012ayush

🔗 Project Links

• 🎥 Demo Video: Watch on Google Drive
• 🚀 Live App: Open Live Application make the demo video , live app link clickable