Abstract:
The rapid growth of email communication has led to an increase in unsolicited and potentially harmful messages, commonly known as spam. These emails can cause productivity loss, security threats, and user inconvenience. The Email Spam Deduction System aims to automate the detection and classification of spam emails using Java-based techniques. By analyzing the content, sender information, and patterns in emails, the system can accurately distinguish between legitimate and spam messages. The project employs algorithms and filtering methods to provide real-time spam detection, reducing manual effort and enhancing email security. This system not only improves the efficiency of managing emails but also safeguards users from phishing attacks, malware, and other cyber threats.
Objective:
To design and develop a Java-based system capable of identifying and filtering spam emails.
To implement effective algorithms for analyzing email content, headers, and metadata for spam detection.
To reduce the risk of phishing, malware, and other security threats associated with spam emails.
To enhance user productivity by minimizing unwanted and irrelevant emails.
To provide a scalable and efficient solution that can integrate with existing email services for real-time spam filtering.
• Demo Video
• Complete project
• Full project report
• Source code
• Complete project support by online
• Life time access
• Execution Guidelines
• Immediate (Download)
Software and Hardware Requirements
Software Requirements:
1. Operating System: Windows 10/11, Linux, or MacOS. The system is web-based and compatible with all major OS platforms.
2. Web Server: Apache Tomcat 9 or higher for hosting the Spring Boot application.
3. Programming Languages & Frameworks:
o Java 11 or above for backend development.
o Spring Boot for server-side application logic.
o Thymeleaf for front-end template rendering.
4. Database: MySQL 8.0 or higher for secure data storage, supporting transactional operations and user authentication.
5. Web Technologies: HTML5, CSS3, JavaScript, Google Charts API for front-end visualization.
6. Development Tools: Eclipse, IntelliJ IDEA, or Visual Studio Code for coding and debugging.
7. Additional Libraries:
o Spring Security for authentication and authorization.
o Bootstrap 5 or custom CSS for responsive and modern UI.
o JPA/Hibernate for ORM-based database operations.
Hardware Requirements:
1. Processor: Intel i3/i5 or equivalent AMD processor, minimum 2.0 GHz.
2. RAM: Minimum 8 GB RAM to support server and local development environments efficiently.
3. Storage: At least 256 GB SSD for application deployment, database storage, and backups.
4. Display: Monitor with a minimum resolution of 1366x768 for comfortable interface interaction.
5. Internet Connectivity: Stable broadband connection to interact with the cloud database and access real-time updates.
1. Immediate Download Online
