Psychotherapy sessions generate large volumes of unstructured conversational data that must be documented, analyzed, and reviewed by therapists. Manual transcription and subjective interpretation of emotional cues are time-consuming and cognitively demanding. This paper presents Inner Me, an AI-assisted framework designed to support psychotherapists through automated speech-to-text transcription, emotion recognition, session summarization, and interactive question?answering.
Artificial Intelligence, Psychotherapy, Speech-to-Text, Emotion Recognition, Natural Language Processing
IRE Journals:
Pooja Patil, Prof. Shendage "Inner Me: An AI-Assisted Framework for Automated Psychotherapy Session Transcription, Emotion Analysis, and Summarization" Iconic Research And Engineering Journals Volume 9 Issue 6 2025 Page 1256-1256 https://doi.org/10.64388/IREV9I6-1712895
IEEE:
Pooja Patil, Prof. Shendage
"Inner Me: An AI-Assisted Framework for Automated Psychotherapy Session Transcription, Emotion Analysis, and Summarization" Iconic Research And Engineering Journals, 9(6) https://doi.org/10.64388/IREV9I6-1712895