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Journal App

A journal application that allows users to log in and manage journal entries with standard CRUD operations. The entries are analyzed and given AI-generated sentiment values, summaries, and colors, providing users with a seamless experience for logging and managing their journals.

Live Demo

Check out the live demo of the project.

overview image

Key Features

1. Authentication

  • User registration and authentication
  • Secure sign-in and sign-up processes

2. Journal Management

  • Create, read, update, and delete journal entries
  • Autosave changes while writing entries using react-autosave

3. AI Integration

  • AI-generated sentiment analysis for each entry
  • AI-generated summaries and color-coded feedback
  • Use the search bar to get information about journals using Groq and Gemini
  • Update the status of mood, summary, color, etc., using Groq and Gemini

4. Data Visualization

  • Analyze entries and draw charts based on AI-generated sentiment values

Technical Stack

  • Framework: Next.js
  • Backend & Database: Turso (serverless), Prisma
  • Authentication: Clerk
  • AI Integration: LangChain, Gemini, Groq
  • Validation: Zod
  • Testing: Vitest
  • Charts: Recharts

Packages

  • Turso: Backend serverless solution
  • Clerk: For sign-in, sign-up, and authentication
  • LangChain: Simplifies AI prompt implementation
  • React-Autosave: Enables autosave functionality for journal entries
  • Zod: Provides schema for AI results
  • Prisma: ORM for database management
  • Recharts: Library for data visualization
  • Vitest: Testing framework

Getting Started

To get started with the project, follow these steps:

  1. Clone the repository:

    git clone https://github.com/momensalama/fullstack-ai-nextjs.git

  2. Change to the project directory:

    cd fullstack-ai-nextjs

  3. Install the necessary dependencies:

    npm install

  4. Run the development server:

    npm run dev