Innovative AI Solutions for Mental Health: Bridging Detection and Therapy
DOI:
https://doi.org/10.70445/gjeac.1.1.2025.51-58Keywords:
AI-Enhanced Depression Detection, Integrated Mental Health Systems, EEG-Based Detection, Facial Recognition, Optimization Algorithms, Mental Health AI, Computational ChallengesAbstract
This paper examines how artificial intelligence systems can spot depression symptoms and develop treatment plans. We analyze the combination of physical healthcare devices with software applications to evaluate their worth and costs alongside AI face detection tools and optimization methods. The analysis reveals how expert teams combine their knowledge to develop effective artificial intelligence tools that assist people with mental health challenges. Our research proved that combining mental healthcare and AI technology leads to better diagnosis outcomes while providing tailored treatment solutions for global mental health support.
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Copyright (c) 2025 Hira Zainab, Ali Raza A Khan, Muhammad Ismaeel Khan, Aftab Arif (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.