Mobile device forensics is a subdivision of traditional digital forensics to recover digital evidence or data from a mobile device including smart phones and tablets. With a recent proliferation of smart phones, the demand of mobile device forensics is expected to be increased considerably. This paper explores currently available techniques and resources needed for mobile device forensics and presents a low cost automated mobile device forensics system developed by college students by using Python programming language and existing Raspberry Pi cluster system.