Smart Compliance Scheduler

A full-stack web application designed to help compliance professionals efficiently schedule, track, and manage regulatory tasks. Built with React, Spring Boot, and MySQL, the application provides intuitive interfaces, secure data handling, and powerful task organization features.

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Features

• Task Management: Create, view, edit, and delete compliance tasks with details including heading, description, due date, due time, status, priority, and people involved.
• Table & Calendar Views: Toggle between a modern table and an interactive calendar to visualize and organize tasks by date, priority, or status.
• File Attachments: Upload and associate relevant documents with tasks for easy reference and record-keeping.
• AI Chatbot: Floating assistant enables users to create tasks or get help through natural language chat, powered by OpenAI GPT-3.5.
• Robust Backend Handling: Backend logic safely distinguishes between structured (task) and unstructured (chat/help) AI replies.
• Multi-User Collaboration: Assign tasks to multiple stakeholders by adding their email addresses.
• Responsive UI: Clean, accessible design with a focus on usability for professionals aged 50+.

Reminders and AI assistant features are planned for future updates.

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Tech Stack

• Frontend: React (with React Router, custom CSS)
• Backend: Spring Boot (Java, REST APIs, Hibernate/JPA, OpenAI integration)
• Database: MySQL

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Project Blueprint

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Getting Started

Prerequisites

• Node.js & npm
• Java JDK 17+
• Maven
• MySQL

Setup

1. Clone the Repository

git clone https://github.com/your-username/smart-compliance-scheduler.git
cd smart-compliance-scheduler

2. Backend Setup

cd backend
mvn spring-boot:run

2. Frontend Setup

cd frontend
npm install
npm start

Configuration Notes

1. Create an application.properties file in backend/src/main/resources

2. Add these to your application.properties file

spring.application.name=backend
spring.datasource.url=jdbc:mysql://localhost:3306/compliance_scheduler
spring.datasource.username=root
spring.datasource.password=DB_PASSWORD
spring.jpa.hibernate.ddl-auto=update
spring.jpa.show-sql=true
spring.jpa.properties.hibernate.format_sql=true
openai.api.key=OpenAiAPIKey
openai.model=gpt-3.5-turbo