Infera — Learning Physics by Discovery

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  Infera — Learn Physics by Discovery.

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  Infera introduces physics as a process of discovery, not memorization.

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  Bayesian learning, real-time metrics, and visual uncertainty make abstract physics concepts tangible.

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  As evidence accumulates, uncertainty decreases and motion becomes predictable.

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  Particles begin with high uncertainty (purple) and gradually converge to stable physical laws through observation.

Inspiration

Physics classrooms often teach laws as finished facts — formulas to memorize rather than ideas to understand. Many students can solve equations, but struggle to explain why gravity works or how motion emerges.

We were inspired by a simple question:

What if students could discover physics the same way science originally did — through observation and experimentation?

That curiosity led to Infera, a learning environment where uncertainty comes first and knowledge emerges over time.

What it does

Infera is an interactive physics learning simulator where particles do not start with known physical laws.

Instead, they:

Begin with uncertain beliefs about gravity, mass, and friction

Observe their own motion

Gradually refine their understanding through evidence

As learning progresses, uncertainty fades visually — helping students see how knowledge forms instead of memorizing formulas.

How we built it

We built Infera as a browser-based educational tool using:

A custom physics engine

Probabilistic learning via an Extended Kalman Filter

Real-time 3D visualization for intuitive understanding

The system continuously compares predictions with observations and updates beliefs accordingly, simulating how scientific learning happens in the real world.

The interface is designed to be minimal and visual-first, making abstract concepts approachable for students.

Challenges we ran into

Modeling physics without hardcoding physical laws

Keeping probabilistic learning stable in real time

Balancing mathematical accuracy with visual clarity

Explaining a complex concept in a way that feels intuitive, not overwhelming

Accomplishments that we're proud of

Built a physics environment where laws are learned, not programmed

Made uncertainty and convergence visually understandable

Created a working prototype that demonstrates discovery-based learning

Designed an educational tool that prioritizes intuition over memorization

What we learned

Learning systems become more powerful when uncertainty is embraced

Visual explanations can communicate complex ideas better than equations alone

Educational tools should show process, not just results

Simplicity matters more than technical complexity in learning design

What's next for Infera — Learning Physics by Discovery

Classroom-focused learning modes for teachers

Guided experiments aligned with physics curricula

Accessibility improvements for diverse learning styles

Expanded simulations covering more physical phenomena

Our goal is to make physics feel less like memorization — and more like discovery.

Built With

• css
• react
• tailwind
• three.js
• typescript
• vite
• webgl