Published Paper Details:

This paper presents a smart and advanced forensic tool that combines handwriting similarity, forgery detection, and spam detection into one integrated system. The project was fully developed and executed on a Raspberry Pi 5, which plays a key role in making the tool portable, energy efficient, and cost effective. This shows that advanced forensic and cybersecurity operations can be performed on small hardware without needing high-end systems. The handwriting similarity module checks whether two handwritten documents are written by the same person, focusing only on handwritten content. The forgery detection module finds duplicate or tampered areas such as signatures, stamps, QR codes, and government documents by using image analysis techniques. The spam and threat detection module identifies and blocks spam messages, unsafe links, and malicious files including APKs, EXE, and document formats that may cause harm. The toolkit uses machine learning methods for better accuracy and gives simple visual results for easy understanding. Testing proved that the system performs smoothly on the Raspberry Pi 5 with an overall accuracy of more than 95 percent, showing that it is a reliable and practical solution for real time document verification and digital threat detection.