MoodLens

MoodLens: Enhancing Classrooms with Emotional Insights

Inspiration

Students emotional well-being is crucial for their academic and personal growth, but teachers often struggle to gauge their mental states in real-time. This makes it hard to address issues like stress or disengagement. Inspired to close this gap, we created a tool that combines IoT and AR to promote empathy, inclusivity, and better learning outcomes.

What it Does

MoodLens uses IoT-powered wristwatches to monitor students heart rates, skin temperature, and movement. This data is anonymized and displayed on an AR-based classroom heatmap, giving teachers real-time insights into their students emotional states. The tool helps identify stress or disengagement, enabling timely interventions to improve student well-being and engagement.

How We Built It

IoT Devices: Developed wristwatches with sensors to collect physiological data.
Data Processing: Built real-time pipelines to analyze and process the data.
AR Visualization: Created a classroom heatmap using ARCore/ARKit to display insights intuitively.
Backend: Built a secure and scalable cloud system for data storage and analysis.
Frontend: Designed a user-friendly interface for teachers to interact with the heatmap easily.

Challenges

Privacy: Ensuring data remains anonymous while being actionable for teachers.
Sensor Accuracy: Fine-tuning the devices for reliable data in diverse classroom settings.
Real-Time Performance: Achieving seamless communication between IoT devices, backend, and AR visuals.
Adoption: Addressing educators skepticism about the tool’s effectiveness.

Accomplishments

Developed a real-time AR heatmap for visualizing classroom emotions.
Achieved precise data collection with secure, privacy-compliant IoT devices.
Built a scalable backend capable of handling large volumes of real-time data.
Designed an empathetic solution that supports both teachers and students.

What We Learned

Balancing innovation with ethical and privacy concerns is critical.
Real-time data can transform classroom management and boost student engagement.
User-friendly design is key to making technology accessible for educators.
Integrating IoT and AR requires attention to seamless functionality and impact.

What's Next for MoodLens

Pilot Testing: Partner with schools to test MoodLens in real-world classrooms.
Advanced Analytics: Use AI for deeper emotional insights and predictive analysis.
New Features: Add personalized suggestions for students based on trends.
Scalability: Adapt the solution for various school sizes, regions, and age groups.
Cross-Platform Access: Expand to mobile apps and tablets for broader use.