ML Model: Development of an intelligent system for emotional instability detection
TextEmotion Recognition
Led the design and deployment of a real-time AI platform for detecting emotional instability using both textual and visual data. Developed NLP-based text classification (BERT) and facial emotion recognition models based on user interactions. Focused on identifying anxiety, depression, and emotional dysregulation to support digital wellness.
• Created robust ML ensemble pipelines integrating text and image modalities.
• Employed fine-tuned models on platforms such as HuggingFace and OpenCV.
• Ensured user privacy via consent-based controls and transparent alert logic.
• Prioritized ethical AI practices and scalable solution architecture.
Led the design and deployment of a real-time AI platform for detecting emotional instability using both textual and visual data. Developed NLP-based text classification (BERT) and facial emotion recognition models based on user interactions. Focused on identifying anxiety, depression, and emotional dysregulation to support digital wellness. • Created robust ML ensemble pipelines integrating text and image modalities. • Employed fine-tuned models on platforms such as HuggingFace and OpenCV. • Ensured user privacy via consent-based controls and transparent alert logic. • Prioritized ethical AI practices and scalable solution architecture.
2025 - Present