Roberto Vega

The submission represents a personal academic portfolio focused on machine learning in computational psychiatry rather than a scalable product. While the research field is highly relevant and innovative, the submission features vastly exaggerated and unverifiable claims regarding traction ('most people have used my product'), revenue ('all time marketcap: 500000'), and audience reach. Due to the lack of evidence of true product adoption and poor response quality, the project falls into the minimal traction calibration bracket.