TaskAi: Intelligent Task Management System

An AI-powered task management application built with Angular 19 and ASP.NET Core 9. This project uses the Gemini 2.5 Flash model to provide conversational task summaries and automated task extraction from uploaded documents.

🌟 Key Features

• AI Summary: Generates a 3-sentence conversational status report of your current tasks.
• Smart Extraction: Automatically identifies tasks and due dates from uploaded PDF/Text files.
• Task Management: Full CRUD (Create, Read, Update, Delete) functionality with a PostgreSQL backend.
• Responsive Design: Clean, modern UI built with Angular.

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🛠️ Tech Stack

• Frontend: Angular 19, TypeScript, RxJS, CSS3.
• Backend: ASP.NET Core Web API, Entity Framework Core.
• Database: PostgreSQL.
• AI Engine: Google Gemini 2.5 Flash (via Mscc.GenerativeAI SDK).

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🚀 Installation & Setup

1. Prerequisites

• Node.js (v18+)
• .NET 8/9 SDK
• PostgreSQL instance
• Google AI Studio API Key (Get one here)

2. Backend Configuration

1. Navigate to Task-List-Backend/.
2. Create an appsettings.json file (refer to appsettings.Example.json).
3. Add your PostgreSQL connection string and Gemini API Key:

   "ConnectionStrings": {
     "DefaultConnection": "Host=localhost;Database=TaskDb;Username=postgres;Password=your_password"
   },
   "Gemini": {
     "ApiKey": "YOUR_ACTUAL_API_KEY"
   }

4. Apply database migrations:

   dotnet ef database update

5. Start the API:

   dotnet run

3. Frontend Configuration

1. Navigate to TaskAi-Frontend/.
2. Install dependencies:

   npm install

3. Start the development server:

   ng serve

4. Open http://localhost:4200 in your browser.

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🔐 Authentication Mechanism

The application uses JWT (JSON Web Tokens) for traditional authentication and supports SSO (Single Sign-On) integration.

• Why JWT? It allows for stateless, secure communication between the Angular frontend and C# API.
• SSO Management: Users logging in via SSO are mapped to a ProviderId in the database to ensure a seamless experience regardless of the login method.

🤖 AI Assumptions & Limitations

• Model: Gemini 2.5 Flash was chosen for its high speed and generous free-tier quota.
• File Support: Currently supports .pdf and .txt files.
• Extraction: Works best with documents containing clear dates (e.g., "Due on 2026-05-20").

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📂 Database Schema

The schema includes:

• Users Table: Stores credentials, password hashes, and SSO provider details.
• Tasks Table: Stores task details with a foreign key relationship to the Users table.