Smart Task Manager (AI-Assisted)

🚀 Overview

Smart Task Manager is a REST API built using Spring Boot and enhanced with GitHub Copilot to demonstrate AI-assisted software development practices. The project demonstrates AI-assisted development workflows, multi-agent orchestration, and developer productivity enhancements.

🎯 Objectives

• Practice and implement the learnings of GH-300

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🧠 AI-Assisted Development

This project is developed using GitHub Copilot to:

• Generate boilerplate code
• Refactor existing logic
• Create test cases
• Add documentation
• Improve code quality

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🛠 Tech Stack

• Java
• Spring Boot
• REST APIs
• GitHub Copilot
• Maven

☁️ Cloud (Planned)

• AWS (Future Integration)
• Amazon RDS (Planned)
• AWS CloudWatch (Planned)

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Local AI Integration

This project uses local AI models via Ollama to analyze tasks and predict:

• Task category
• Task priority
• Task complexity (future enhancement)

This approach provides:

• 🔒 Better data privacy (no external API calls)
• ⚡ Faster response times
• 💰 No API costs
• 🧠 Offline AI capability

I will be moving the implementation to any remote free AI model (future enhancement)

Supported Models

• mistral

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📌 Features

Task Management

• Create task
• Update task
• Delete task
• Get all tasks
• Update task status
• Filter tasks by priority
• Due date support

AI-powered features

• Predicts the category of the task (if category is not provided)
• Predicts the priority of the task (if priority is not provided)
• Predicts the complexity of the task (Planned)

AI Category Assignment

Automatically assigns category:

• Work, Personal, Health, Finance, Education, Shopping, Travel, Home, General

Based on:

• Task title and description

AI Priority Assignment

Automatically assigns priority:

• LOW
• MEDIUM
• HIGH

Based on:

• Task title and description
• Due date of the task

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Multi-Agent Orchestration

This project simulates AI multi-agent orchestration:

AI Task Processing Flow

flowchart TD;
    subgraph Application Layer;
        A[Task Controller];
    end

    subgraph AI Agents;
        B[Task Analyzer Agent];
        C[Task Priority Agent];
    end

    subgraph Local AI;
        E[Ollama Mistral];
    end

    subgraph Database;
        D[Task Saved in DB];
    end

    A <--> B;
    A <--> C;

    B <--> E;
    C <--> E;

    A <--> D;

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🔐 Responsible AI Practices

• Reviewed AI-generated code
• Added validation
• Implemented error handling
• Checked security concerns
• Avoided unsafe suggestions

Development Features

• Auto suggestions
• Multi suggestions
• Inline chat
• Chat interface
• Slash commands
• Ghost text

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Copilot Unit Testing

Unit tests generated using GitHub Copilot for:

• TaskService
• TaskController
• AI Agents

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AI in SDLC

GitHub Copilot used across:

Stage	Usage
Design	Architecture suggestions
Development	Code generation
Testing	Unit test generation
Debugging	Error explanation
Documentation	README generation

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🚀 Getting Started

Prerequisites

• Java 21
• Maven
• IDE (IntelliJ / VS Code)

Run Application

mvn spring-boot:run

Postman Collection

Public Postman workspace for the project

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📈 Future Enhancements

• AWS deployment
• Database integration
• Authentication
• Logging
• Docker support

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🤝 Contributing

This is a learning project. Suggestions and improvements are welcome.

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📄 License

This project is for educational purposes.