{"id":10849,"name":"AttentionPilot","purpose":"A mobile application utilizing real-time facial landmark detection to monitor student engagement in classroom settings, effectively automating attention level detection to replace traditional methods.","profitable":1,"date_generated":"Saturday March 2026 17:09","reference":"attentionpilot-project","technology_advise":["Android","Medium","mobile"],"development_time_estimation_mvp_in_hours":240,"grade":6.8,"category":"mobile","view_count":5,"similar_ideas":[{"id":9229,"name":"Privacy Alert","grade":6.8,"category":"mobile"},{"id":7238,"name":"EduFocus","grade":7.8,"category":"education"},{"id":9232,"name":"PrivacyAlert","grade":6.5,"category":"mobile"},{"id":8737,"name":"LensAI","grade":7.2,"category":"mobile"},{"id":6675,"name":"Facial Privacy Shield","grade":7.8,"category":"security"}],"source_headline":"Real-time Student Attention Detection: ResNet vs Facial Landmarks"}