Abstract: This disclosure relates to an asset evaluation system that collects multi-modal asset data, extracts asset features using a neural network architecture, and generates personalized value scores based on user profiles. The system analyzes image and textual content to extract asset features, correlates those features with personalization data in user profiles, and generates tailored asset analysis results. The system can predict a value score for each user profile-asset pair in a manner that goes beyond mere consideration of asset pricing, and which accounts for specific personalization parameters stored in each user profile, such as parameters corresponding to the user's technical capabilities and certifications, risk tolerance, investment preferences, timeline requirements, available resources, and potential synergies with existing assets.