PharmaDash

PharmaDash is a comprehensive Pharmaceutical Employee Dashboard web application developed for the ApexPlanet internship. It simulates a management system for a pharmacy, providing tools for task management, payroll viewing, order tracking, and intelligent workload optimization.

Project Overview

This project is built to demonstrate a modern web application architecture using Next.js, incorporating role-based data visibility and AI-driven features.

Key Features

• Dashboard Layout: A responsive sidebar navigation and header system.
• Task Management: View and track status of assigned tasks.
• Order Tracking: Monitor customer orders and delivery statuses.
• Payroll Integration: View monthly earnings, deductions, and net salary.
• Workload Optimizer: An AI-powered tool (integrated with Google Genkit) that analyzes past performance and employee skills to suggest optimal task assignments.
• Authentication: Secure login interface (Simulated).

Tech Stack

• Framework: Next.js 15 (App Router)
• Language: TypeScript
• Styling: Tailwind CSS
• UI Components: shadcn/ui
• AI/LLM: Google Genkit (Gemini 2.0 Flash)

Getting Started

Prerequisites

• Node.js (v18 or higher recommended)
• npm

Installation

1. Clone the repository:

   git clone <repository-url>
   cd pharma

2. Install dependencies:

   npm install

3. Environment Setup: Create a .env file in the root directory and add your Google AI API key for the optimizer to work:

   GOOGLE_GENAI_API_KEY=your_api_key_here

4. Run the development server:

   npm run dev

5. Open http://localhost:9002 in your browser.

Usage

• Login:
  • Email: rishabh.singh@pharmadash.com
  • Password: password
  • (Note: This is a demo credential)

AI Workflow

The Workload Optimizer uses src/ai/flows/optimize-task-loads.ts to process:

1. Past Task Data
2. Current Task List
3. Employee Profiles

It returns an optimized assignment plan, highlighting efficiency gains and workload balance.