AI Tasks and Goals Manager

Full-stack application designed to assist users align tasks with predefined goals, thereby boosting productivity and goal achievement.

(Web application under development)

(This web application is a personnal project designed to showcase its capabilities and the integration of the OpenAI GPT-4 model. Please do not enter any sensitive or personnal information. For more details on the usage of the OpenAI model, refer to Open AI's Usage Policies.)

Technologies and Features

Frontend:

• Developed using TypeScript, React, Redux Toolkit and CSS for styling.

Backend:

• API and Database: Built with Node.js, TypeScript, Express.js and Axios, along with PostgreSQL database and Prisma.
• User Authentication: JWT authentication with Node.js and password hashing with bcrypt.
• LLM: integrated GPT-4 model from OpenAI. Structured approach using Zod and Langchain to support consistency of the results and ensure compatibility between the AI-generated data and the database.

Testing:

• Unit and Integration Tests: Vitest and React Testing Library (under development).
• End-to-End Tests: Cypress (under development).

Features:

• CRUD operations: Users can easily create, view, edit and delete tasks and goals.

  • Tasks: Each tasks includes a description, priority level (Low, Moderate or High), deadline, progress state ("To do", "In progress" or "Completed") and a category.
  • Goals: Each goal includes a description, a category and associated month.
  • Categories: Options include Career, Personal Development, Leisure, Family and Friends, Financial, Health and Wellness.

• Dashboard:

  • User interface: A user-friendly interface where users can manage tasks and goals and track their progress.

• Open AI model:

  • Purpose: Integrated GPT-4 model from OpenAI to evaluate users’ progress and alignment with goals.
  • Monthly analysis: Evaluates tasks and goals within a specific month. Compares tasks and goals within the same category, taking into account task priority, progress and overall contribution to achieving the related goals.
  • Insights and Tagging: (results of the analysis)
    • Each goal is tagged as "Needs improvement", "In Progress" or "Achieved".
    • A brief overview of the monthly progress is provided, as well as suggestions to enhance productivity.

Docker:

• Running the Application with Docker:
  • Add envfiles to the root directory, frontend folder and backend folder and define respective environment variables (refer to .env.example files).
  • Run docker-compose up --build command in the root directory of the project to build Docker images and start containers.
  • Run docker-compose downcommand to stop and remove containers, networks, volumes and images created by up.
  • For more information in Docker Compose CLI, check the official documentation

• Access the web application in your browser at: "http://localhost:3000".
• The API service will be available at: "http://localhost:3001".