Inspiration
We were inspired by the idea that sound is more than entertainment, it is structured vibration that biological systems may respond to. While researchers carefully control environmental conditions like temperature and pH, acoustic stimulation remains relatively unexplored. We wanted to create an interactive way to visualize and simulate these potential effects without requiring immediate wet lab experimentation.
What it does
Sonovate is a simulation-based platform that models how acoustic signals and music could influence biological growth dynamics. Users can upload audio files, which are analyzed to extract acoustic features such as frequency, intensity, and tempo. These features are then mapped into a computational model that simulates biological growth behavior in real time through petri-dish visualizations and by reporting the predicted effect on the growth rate. This predictive tool will help researchers and production teams identify optimal parameters for E. Coli growth, and plan their experiments.
How we built it
We built Sonovate using a combination of audio analysis, computational modeling, and interactive visualization tools. The platform processes uploaded audio files to extract acoustic characteristics and integrates them into a biological growth simulation based on logistic growth behavior and parameter modulation. We also designed a real-time interface to allow users to interact dynamically with the simulation outputs.
Challenges we ran into
One of the biggest challenges was connecting acoustic analysis with biological simulation in a scientifically coherent way while keeping the system understandable and interactive. Another challenge was designing a simulation that remained computationally lightweight enough for real-time visualization during user interaction.
Accomplishments that we're proud of
We are proud of creating a platform that bridges biology, sound analysis, and simulation in a creative and interactive way. We successfully developed a system that transforms uploaded music into simulation inputs and generates live biological response visualizations, making abstract scientific concepts much more accessible.
What we learned
Through this project, we learned more about computational modeling, audio signal analysis, and the importance of interdisciplinary thinking in scientific innovation. We also learned how simulation tools can help accelerate experimentation, reduce resource use, and make scientific exploration more interactive and accessible.
What's next for Sonovate
Next, we aim to improve the biological realism of the model by integrating experimentally validated datasets and expanding beyond basic growth curves to more complex microbial behaviors such as stress response and adaptation. We also aim to create simulations for more microbes outside of E. Coli, such as yeast which are important in the fermentation industry.
We also plan to enhance the audio analysis pipeline to include deeper signal processing and feature extraction, allowing for more precise mapping between sound structures and simulated biological responses.
On the product side, we want to develop collaborative features so researchers and students can share simulations, compare conditions, and build reproducible experimental setups.
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