Enhancing GCP Cloud and On-Premise Hardware Security for ThisFish

This project aims to bolster the security of ThisFish's Google cloud and on-premise hardware by addressing current vulnerabilities and establishing robust security practices. The team will begin by investigating reported vulnerabilities, analyzing their potential impact, and providing actionable recommendations for remediation. Following this, learners will assist in developing best practices and procedures tailored to the company's specific hardware security needs. The project will also involve conducting a thorough security assessment to identify any additional vulnerabilities, ensuring alignment with industry standards. By applying classroom knowledge of cybersecurity principles, learners will gain hands-on experience in real-world security challenges, contributing to a safer technological environment for ThisFish. - Investigate and analyze current reported hardware vulnerabilities. - Develop tailored recommendations for vulnerability remediation. - Assist in creating best practices and procedures for on premise hardware security. - Conduct a comprehensive security assessment to identify further vulnerabilities.

Filtering tuna cans with defects using computer vision

The main goal is to apply computer vision techniques to develop an algorithm capable of processing a large dataset of tuna can images and identifying a minority subset that may represent anomalies or defects. The focus is solely on filtering these potential defect images from the dataset.