Filippo Marino/safe-esteem.com was a very interesting project to work on and Filippo was very helpful, patient, and instructive. This project wasn't in my field [Cybersecurity] and I felt that I lacked the experience/skills necessary to have been more effective. However, I still appreciated the exposure and lessons learned about my own growth opportunities. I am grateful for Filippo's guidance and my teammate's peer leadership. I think is an excellent project for data analytics students, business majors, etc. For anyone outside those fields, this may be a bit challenging. If future students come from outside data analytics, I would recommend a bit more of a tutorial, glossary of terms, and some job aides for spreadsheet/calculations. I also think that a software development major could be of great benefit to Filippo/Safe-esteem as a simple Python script could be written to ask questions of student researchers [then the student's experience/major would not matter.] The answers could be scripted to dump into a spreadsheet-ready form or even directly into the Google Sheets, Excel, or other spreadsheet format. This would remove a lot of the possibility for human error in data entry/calculation. Also, the script is faster to review for errors vs individual spreadsheets. The Python scripting could also be programmed to complete the number/rate highs & lows, thereby further reducing the human error element and making review quicker. Additionally, it would make it easier to transfer research data/calculations into Safe-esteem's app software. This could considerably reduce costs and time for Safe-esteem and would be an excellent project for general computer science/software development student. So it result in very big wins all around.