this project aim to investigate the detection of borderline personality disorder and self harm  detection through extracting emotions from text, audio and video. after getting results from each input type the output is sent to a fusion model which combines the results and classifies them to one final emotion. therefore if we can track emotions we can detect self harm tendencies and extreme mood swings that will help in the detection of borderline personality disorder.

• MindTime provides security and confidentiality for the users.

• MindTime grants our users with the online therapy tools needed whenever and wherever.

• MindTime aims to spread mental health awareness.

• MindTime grants the doctors in the field with the needed tools to ease their work.

• since most people get late diagnosis due to lack of awareness the app offers an ideal knowledge hub  (Library) that is accessible at anytime.

• Mood tracker has also been provided for the users to help them understand their emotional behaviors and assist in the detection of borderline symptoms

The system shall cover the following items within it’s scope:

• Evaluate the user’s mental health status through evidence-based questionnaire .• Detect the user’s feelings from their diary using natural language, as well as, self-harm tendency.

• facial emotions extraction from video inputs.

• Detecting mental distress from voice frequency.

• Notify patients and doctors before their appointments or tasks.

• Alert the user to input his mood status through out the day.

• Send motivational statements to users every now and then based on their mood patterns.

• Grant the users the option to stay anonymous plus the control over whether to share his diary with atherapist or not.

• Provide an SOS button to notify emergency contacts in case of emergency and send the user’s currentlocation.

• Generate weekly reports for users showing mental health improvements.

• Provide the users with the option to book online sessions with a certified therapist.