🏥 MediMart - Pharmacy Management System

"I don't always test my code, but when I do, I do it in production." — (Just kidding, please test locally first!)

📖 Project Overview

MediMart is a comprehensive digital platform designed to handle the day-to-day operations of a modern pharmacy. It connects customers with pharmacists through a digital platform, streamlining the process of finding, purchasing, and managing medications.

Semester 5th Mini Project --- MediMart is a modern, responsive web application for an online pharmacy.

🌟 Key Features

• Prescription Upload: Users can upload prescription images (stored in prescription_dataset and processed via OCR).
• Inventory Management: Tracks medicine stock, prices, and availability in real-time.
• Billing System: Automated invoicing and order history.
• Admin Dashboard: Full control for pharmacists to manage products and view orders.
• Medicine Search: Search for specific medicines from a comprehensive database.
• User Authentication: Secure sign-up and login for personalized health management.

❓ Why it is Necessary

In today's fast-paced world, access to essential healthcare should be seamless. MediMart addresses several key needs:

• Efficiency: Reduces the time spent visiting physical pharmacies.
• Accessibility: Enables users to upload prescriptions and manage their health from anywhere.
• Searchability: Provides a vast database of medicines with easy search capabilities.
• Organization: Keeps track of billing history and health-related settings.

🛠️ Prerequisites

Before you begin, ensure you have the following installed on your system:

• Node.js (Latest LTS Version)
• MongoDB (Local or Atlas)
• Python (For data import scripts)

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🚀 Setup & Installation

Follow these steps to set up the project locally.

Step 1: Install Dependencies

1. Open the project folder in your code editor.
2. Navigate to the backend directory and run:

   npm install

Step 2: Environment Configuration (.env)

1. Create a new file in the backend folder named .env
2. Add your credentials:

   PORT=3000
   MONGODB_URI=your_mongodb_connection_string
   JWT_SECRET=your_secret_key

   (Note: Replace with your actual MongoDB connection string).

Step 3: Setup Database & Dataset

To populate the initial medicine inventory:

1. Ensure MongoDB is running.
2. In the backend directory, run:

   python import_csv.py

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🏃‍♂️ How to Run the Project

1. Start the Backend Server: In the backend directory, run:

   node index.js

   Confirm that the server is running and the database is connected.

2. Launch the Application: Open frontend/index.html in your web browser or via a local server.

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📂 Folder Structure Guide

• frontend/: Frontend files (HTML, CSS, JavaScript).
• backend/: Backend logic (API routes, Database Models).
• prescription_dataset/: Sample images for testing prescription uploads.
• node_modules/: Project dependencies.

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🤝 How to Contribute

We welcome contributions!

1. Fork the project.
2. Create your Feature Branch (git checkout -b feature/AmazingFeature).
3. Commit your changes (git commit -m 'Add some AmazingFeature').
4. Push to the Branch (git push origin feature/AmazingFeature).
5. Open a Pull Request.

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📬 Author & Contact

Neha Maurya

• AI ML Developer
• Connect with me on LinkedIn for any queries regarding the project setup!