Open experiments where AI meets biology — a few are built, most are still ideas.
This is a lab notebook, not a catalogue. Where code exists it's open on GitHub; the rest are concepts shared in case they spark something for you.
A medication-monitoring system pairing an ESP32 dispenser with a web dashboard over MQTT — built, working, and open-source.
A concept for a brain-computer interface that could enable direct neural control of digital devices with low-latency signal processing.
A concept for converting visual, auditory, and tactile information into alternative sensory channels to improve accessibility.
A concept for prosthetics and mobility aids with predictive movement that could learn user patterns and environmental context.
A concept for AI-guided neuroplasticity support — using personalized stimulation patterns to aid neural recovery and cognitive training.
A speculative concept for an edge unit combining quantum annealing with neuromorphic computing for low-power AI inference.
A concept for a self-organizing IoT network with distributed AI, where each node contributes to collective intelligence while keeping local autonomy.
A concept for a multi-modal sensor system with anomaly detection that could flag failures and environmental changes early.
A concept for edge-device security combining modern cryptography with AI threat detection for hardened communication channels.
A concept for adapting growing conditions in real time from climate data and plant biometrics — aiming for better yield with fewer resources.
A concept for an intelligent hydroponic controller that monitors plant health and adjusts nutrients, pH, and lighting automatically.
A concept for autonomous drone swarms in precision agriculture — multi-spectral imaging, targeted treatment, and crop-health assessment.
A concept for soil analysis using microbiome sequencing to guide targeted, sustainable interventions for soil health.