The problem Filial Minds solves

FilialMinds is a revolutionary web-based application designed to ease and enhance tasks related to child assessments, mental health analysis, and early development. FilialMinds offers a range of benefits:

Effortless Assessments: Streamlined assessments with a child-friendly interface, allowing therapists to gain insights in a comfortable environment.

Enhanced Diagnostic Accuracy: Overcoming traditional challenges, FilialMinds fosters authentic child responses, ensuring accurate and nuanced diagnostic outcomes.

Holistic Child Development: Beyond assessments, FilialMinds facilitates skill development through gamified activities and auditory learning, promoting well-rounded growth.

Parent-Child Relationship Insights: Unraveling the complexities of parent-child relationships, providing therapists with valuable perspectives for comprehensive analysis.

Time-Efficient: Accelerates assessment procedures, optimizing therapist workflow and saving valuable time for both professionals and families.

Engaging Learning Tools: Incorporating interactive features like story-listening and games, making the learning experience enjoyable for children

Challenges we ran into

One of the significant technical challenges encountered during the development of Filial Minds was related to efficiently collecting data from the interactive games designed for the platform. Implementing a robust mechanism to capture and analyze data generated during gameplay posed complexities. The challenge stemmed from ensuring the seamless integration of data collection methods within diverse game environments while maintaining the accuracy and reliability of the gathered information.

Additionally, fetching dynamic data to render on our reports for individual children presented another technical hurdle. The need for real-time data updates and rendering posed challenges in terms of optimizing data retrieval processes, ensuring that the reports reflected the most current and relevant information. Overcoming this challenge required a thoughtful approach to data architecture, balancing real-time responsiveness with system efficiency.