Skip to content

Repository files navigation


Logo

AI-powered Planner

Optimize your schedules!
View Demo »

Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. License
  5. Contact

About The Project

Product Screenshot

The AI-powered Planner is a web application designed to help managing schedules effectively. Integrated with AI, it provides feedback and analytics to optimize scheduling and time management.

Key Features:

  • Authentication & Profile Management: Secure login, user session and support Google OAuth.
  • Task Management: Create, update, prioritize, and track study tasks.
  • Smart Scheduling: Plan sessions via an intuitive interface.
  • AI Suggestions: Get personalized insights to optimize study patterns.
  • Focus Timer: Track study sessions using the Pomodoro technique.
  • Analytics Dashboard: Visualize habits, time usage, and performance trends.

(back to top)

Built With

  • Next.js
  • MongoDB
  • TailwindCSS

(back to top)

Getting Started

To set up the project locally, follow these steps.

Prerequisites

  • Node.js and npm installed.
  • MongoDB instance running.

Installation

  1. Clone the repository:
    git clone ...
  2. Install dependencies:
    npm install
  3. Set up environment variables:
    • Create a .env.local file in the root directory.
    • Add the variables found in .env.example.
  4. Start the development server:
    npm run dev

(back to top)

Usage

  • Add & Manage Tasks: Create study goals and prioritize them.
  • Schedule Tasks: Organize tasks using an interactive scheduler.
  • Use AI Insights: Receive suggestions to enhance time management.
  • Focus Timer: Track sessions with the built-in timer.
  • Track Progress: View analytics and performance reports.

(back to top)

License

Distributed under the MIT License. See LICENSE for more information.

(back to top)

Contact

Ngo Cao Anh Thinh | anhthinhncat@gmail.com | +84 933 276 382

Project Link: Bygram

(back to top)

About

Task Management App 📋

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages