Synapse AI Notes 🧠✨

An intelligent note-taking application designed to transform your scattered notes into a structured and searchable knowledge base.

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Synapse AI Notes is a modern web application built with Java Spring Boot and a dynamic Vanilla JavaScript frontend. It moves beyond simple text storage by integrating AI-powered features to help users summarize long notes and automatically categorize them, making the process of studying and research more efficient and insightful.

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✨ Key Features

• ✍️ Full CRUD Functionality: Create, read, update, and delete your notes and subjects with ease.
• 🔐 Secure User Authentication: A robust security system for user registration and login using email and password.
• 🤖 AI-Powered Summarization: Condense long, complex notes into concise, easy-to-digest summaries with a single click.
• 🏷️ AI-Assisted Categorization: Get intelligent suggestions for categorizing your notes based on their content, saving you time and effort.
• 📱 Dynamic & Responsive Frontend: A clean, responsive, and user-friendly interface built with HTML, TailwindCSS, and JavaScript.
• 🔍 Search & Filter: Instantly find the information you need by searching for keywords or filtering your notes by subject.

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🛠️ Technology Stack

Component	Technology Used
Backend	Java 17, Spring Boot 3.x
Database	MySQL
Security	Spring Security (Email/Password Authentication)
Build Tool	Apache Maven
Frontend	HTML, CSS, TailwindCSS, Vanilla JavaScript
AI Services	Hugging Face Inference API
Key Deps	spring-data-jpa, spring-security, mysql-connector

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🚀 Getting Started

To get a local copy up and running, follow these simple steps.

Prerequisites

• JDK 17 or later
• Apache Maven 3.8 or later
• MySQL Server (e.g., via XAMPP, WAMP, or standalone installation)

Installation & Setup

1. Clone the repository:

   git clone [https://github.com/venushathi/synapse-ai-notes-app.git]
   cd synapse-ai-notes-app

2. Database Setup:

   • Ensure your MySQL server is running.
   • Open a MySQL client (like phpMyAdmin, MySQL Workbench, or the command line).
   • Create a new, empty database. You can name it synapse_ai_db.

     CREATE DATABASE synapse_ai_db;

3. Configure application.properties:

   ⚠️ Important: This file is intentionally excluded from the repository to protect your secret keys. You must create it manually.

   • In the project, navigate to src/main/resources/.
   • Create a new file named application.properties.
   • Copy the content below into your new file and update the values for your local environment.

   # Server Port
   server.port=8080
   
   # Database Connection
   # Replace 'your_mysql_password' with your MySQL root password (or leave blank if none).
   spring.datasource.url=jdbc:mysql://localhost:3306/synapse_ai_db?useSSL=false&allowPublicKeyRetrieval=true&serverTimezone=UTC
   spring.datasource.username=root
   spring.datasource.password=your_mysql_password
   
   # JPA and Hibernate Properties
   # 'update' will automatically create and update tables based on your @Entity classes.
   spring.jpa.hibernate.ddl-auto=update
   spring.jpa.database-platform=org.hibernate.dialect.MySQLDialect
   spring.jpa.show-sql=true
   
   # Hugging Face API Key
   # Replace with your own key from huggingface.co
   huggingface.api.key=YOUR_HUGGING_FACE_API_KEY_HERE

4. Build and Run the Application:

   • Open a terminal in the project's root directory.
   • Run the application using the Maven wrapper:

     ./mvnw spring-boot:run

   • The application will start, and the necessary database tables will be created automatically. You can access it at http://localhost:8080.

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📄 License

This project is licensed under the MIT License.