Aman Mishra

Marketing Task Management System

A comprehensive full-stack web application for managing marketing campaigns and field tasks with real-time tracking, hierarchical location management, and role-based workflows.

Technology Stack

Key Features

Architecture Highlights

• Hierarchical Location System: State → City → Locality → Pincode with cascading dropdowns
• Real-time Communication: SignalR for instant task updates and notifications
• Security: JWT-based authentication with role-based authorization (Admin/Employee)
• Scalable Design: Microservices-ready architecture with separate service contexts
• Performance: Stored procedures for complex queries, EF Core for CRUD operations

Database Schema

Core Tables:

• Users - User accounts (Admin & Employees)
• MarketingTasks - Task information
• MarketingCampaigns - Campaign data
• States, Cities, Localities, Pincodes - Location hierarchy
• TaskStatusHistory - Audit trail for task status changes

Quick Start

# Prerequisites: Node.js 18+, .NET 8 SDK, SQL Server

# 1. Clone repository
git clone https://github.com/aman7506/marketing-task-management

# 2. Backend setup
cd backend
dotnet restore && dotnet build

# 3. Frontend setup
cd frontend
npm install && ng serve

# Access: http://localhost:4200

Default Credentials

Admin: admin@actionmedical.com / Admin123!

Employee: Check database for test accounts

Surgical Pathology Requisition System

Enterprise-grade healthcare application managing 60+ medical fields with HIPAA-ready architecture, role-based workflows, and complete audit trails.

Technology Stack

Key Features

• Dynamic Medical Forms: 60+ fields including patient info, specimens, clinical history
• Role-Based Access: Separate workflows for Nurses, Doctors, and Administrators
• HIPAA Compliance: Full audit trail, data encryption, secure file handling
• PDF Reports: Server-side generation for official medical requisition forms
• File Management: Secure upload and storage of clinical documents
• Validation Engine: Multi-layer validation (client-side + server-side)

Architecture Highlights

• MVC Pattern: Clean separation of concerns with Razor Views
• State Machine: Workflow management (Draft → Submitted → Processed)
• Audit Trail: Every data modification logged with timestamp and user info
• Data Integrity: Strict foreign key constraints and transactional updates

Database Schema

Core Tables:

• Requisitions - Main requisition data
• Patients - Patient information
• Specimens - Specimen details
• AuditLogs - Complete audit trail
• Users - Healthcare professionals

Quick Start

# Prerequisites: .NET 8 SDK, SQL Server

# 1. Clone repository
git clone https://github.com/aman7506/Surgical-Pathology-Requisition-Form

# 2. Setup database
# Run SQL scripts in /database folder

# 3. Build and run
dotnet restore
dotnet build
dotnet run

# Access: https://localhost:5001

Deployment Options

• IIS: Complete IIS deployment guide with MSI installer
• Docker: Containerized deployment with Docker Compose
• Azure: Azure App Service deployment scripts

TPN (Total Parenteral Nutrition) Calculator

Mission-critical healthcare web application for calculating total parenteral nutrition with 100% accuracy, processing 500+ calculations monthly for healthcare professionals.

Technology Stack

Key Features

• Precision Calculation Engine: Exact nutritional dosage with decimal precision handling
• Double Validation: Client-side and server-side validation for safety
• Clinical Guidelines: Built-in safety limits and max/min thresholds
• Real-time Feedback: Instant validation and calculation as user types
• Patient History: Save and retrieve past calculations
• Audit Trail: Snapshot storage of all calculation parameters

Architecture Highlights

• Safety First: Multi-layer validation strategy for critical medical calculations
• Unit Conversion: Automatic conversion between measurement units
• Error Handling: Comprehensive error messages for clinicians
• Auditability: Complete logging of calculation inputs and outputs

Calculation Components

• Dextrose calculation (grams/day)
• Protein/Amino acids calculation
• Lipid calculation
• Electrolytes & minerals
• Total caloric requirement
• Fluid volume calculation

Quick Start

# Prerequisites: Node.js 18+, .NET 8 SDK

# 1. Clone repository
git clone https://github.com/aman7506/TPN-Calculator

# 2. Frontend setup
cd frontend
npm install && ng serve

# 3. Backend setup
cd backend
dotnet restore && dotnet run

# Access: http://localhost:4200

Safety & Testing

Medical Disclaimer: This application is for educational and assistive purposes. All calculations should be verified by qualified healthcare professionals before clinical use.

Testing: Comprehensive unit tests covering all calculation scenarios and edge cases.

Voice Office Assistant (AI-Powered)

Master's research project: AI-powered voice assistant chatbot using OpenAI Whisper and GPT-4, achieving 92% accuracy while processing 5,000+ voice commands daily.

Technology Stack

Key Features

• Voice Commands: Natural speech to text using OpenAI Whisper
• Task Management: Create, update, delete tasks via voice
• Calendar Integration: Google Calendar API for scheduling
• Email Integration: SMTP for email notifications
• Real-time Sync: WebSocket (SignalR) for instant updates across devices
• Context-Aware: GPT-4 for understanding complex, conversational commands

Architecture Highlights

• Hybrid Processing: Client-side audio capture, server-side AI processing
• Low Latency: Optimized pipeline for near real-time voice-to-action execution
• State Management: NgRx for managing complex voice interaction states
• Response Caching: 40% cache hit rate for frequently used commands

Accuracy & Performance

• 92% Voice Recognition Accuracy (OpenAI Whisper)
• 5,000+ Commands Daily - Proven scalability
• <500ms Latency - Real-time sync across devices
• 40% Cache Hit Rate - Optimized AI response time

Supported Commands

• "Create a task: Call John at 3 PM tomorrow"
• "Schedule a meeting with the team on Friday at 10 AM"
• "Send an email to sarah@example.com about project update"
• "Show me my tasks for today"
• "Complete the task: Purchase office supplies"

Quick Start

# Prerequisites: Node.js 18+, .NET 8 SDK, OpenAI API Key

# 1. Clone repository
git clone https://github.com/aman7506/voice-office-assistant

# 2. Frontend setup (Expo)
cd frontend
npm install
expo start

# 3. Backend setup
cd backend
dotnet restore && dotnet run

# 4. Configure OpenAI API key in backend/.env

Deployment Options

• Frontend: Expo EAS Build for iOS/Android
• Backend: Railway/Render/Azure
• Database: Azure SQL or AWS RDS