C08 : EzerBot: Detecting Phrases Indicative of Emotional Distress Within Online Platforms


Students Gurnirmal Kaur
School GEDSB - North Park Collegiate and Vocational School - Brantford
Level Senior 11/12 - Grade 12
Group Group 11 - Engineering and Computing IV
Abstract The objective of this project is to develop a chatbot which uses a neural network to detect phrases indicating suicidal ideation, self-harm, anxiety, or depression within online platforms. Upon detection, the chatbot (EzerBot) will engage the user and provide them with mental health resources in their vicinity. EzerBot serves as a tool for mental health support and a preventative measure for self-inflicted injury or suicide.
Awards
Group Award Prize
ArcelorMittal Dofasco AwardsArcelorMittal Dofasco Medical Department Award$ 100
Hillfield Strathallan College Awards of ExcellenceHillfield Strathallan College Awards of Excellence - Innovation Award$ 100
McMaster University Faculty of Engineering Entrance AwardsMcMaster University Faculty of Engineering Entrance Award$6,000 Entrance Award
Dr. Nicola Simmons Award in Cognition StudiesDr. Nicola Simmons Award in Cognition Studies$ 100
Merit AwardsSilver Merit Award$ 80
Gowling WLG Innovation AwardsGowling WLG Innovation Award - Runner-up$ 200
Canada-Wide Science Fair Trip AwardsCanada-Wide Science Fair Trip Award
International Science & Engineering Affiliated Fair AwardsU.S. Agency for International Development (USAID) AwardCertificate & Social Network Media Kit