• Abhiraj Salunke
• prithviraj pawar
• premal jagdale
• ketan khanapure
• hariom jate

: Depression and anxiety are serious mental health issues, but current ways to check for them often miss important changes because they rely only on occasional self-reports. Mind Scape leverages passively sensed smartphone data—like movement and social activity—to identify early signs of worsening symptoms. Each user is assigned a personalized AI model (LSTM Autoencoder) that learns their normal behavioral patterns and detects anomalies when changes occur. The system also uses SHAP (Shapley Additive ex Plantations) to make the model’s decisions transparent by identifying which behaviors triggered an alert. This personalized and explainable approach aims to help individuals and clinicians recognize early signs of mental health decline and act before symptoms worsen. Students and professionals are suffering from mental health issues daily and helping them to overcome from it.

application

"SMART-SENSE- DETECTING MENTAL HEALTH SHIFTS USING AI AND SMARTPHONES BEHAVIOR.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 10, page no.b301-b305, October-2025, Available :http://www.jetir.org/papers/JETIR2510144.pdf

"SMART-SENSE- DETECTING MENTAL HEALTH SHIFTS USING AI AND SMARTPHONES BEHAVIOR.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 10, page no. ppb301-b305, October-2025, Available at : http://www.jetir.org/papers/JETIR2510144.pdf