Elevating Mental Fitness Assessments with Conversational AI
Opportunity
1. Early Identification: Timely and accurate mental fitness assessments are essential for early identification and intervention of mental health issues.
2. Data Quality: Traditional methods often result in incomplete and unreliable data due to low participant engagement.
3. User Engagement: Engaging and interactive assessments are needed to keep participants interested and ensure honest responses.
4. Real-Time Insights: Mental health professionals require real-time data to provide timely and personalized care.
5. Remote Health Services: The growing demand for remote and digital health solutions necessitates the integration of innovative technologies to enhance mental health assessments.
Approach
– Developed an advanced chat agent using GCP Dialogflow and Gemini 1.5 PRO, capable of holding engaging and lengthy conversations with users.
– The chat agent interacted naturally with users, rephrasing questions and providing follow-up queries to maintain engagement.
2. NLP Response Transformation:
– User responses were processed using natural language processing (NLP) to transform them into API parameters.
– These parameters were then sent to our NodeJS-based cloud functions for processing.
3. Real-Time Evaluation:
– The cloud functions, called via the agent workflow of Google Gemini, computed mental fitness scores in real-time.
– Immediate feedback and evaluations were provided to users and mental health coaches for further follow-up.
4. Enhanced User Experience:
– Created a mobile-first interface using React Native for iOS and Android, ensuring easy accessibility and a seamless user experience.
– Built an intuitive web interface with ReactJS, catering to users who preferred desktop access.
Outcomes
1. Increased Engagement: Engagement and completion rates of mental fitness assessments increased by 45%.
2. Enhanced Accuracy: Interactive and adaptive questioning improved the accuracy and reliability of mental health evaluations.
3. Real-Time Insights: Mental health coaches received real-time insights, enabling timely interventions and personalized care.
4. Improved User Satisfaction: Users reported higher satisfaction due to the engaging and interactive assessment process.
5. Scalability: The solution seamlessly scaled to accommodate a growing number of users and assessments.
6. Data-Driven Decisions: Mental health professionals made more informed decisions based on accurate and real-time data.
7. Time Efficiency: Reduced the time required for manual data processing and evaluation.
Technologies
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