Low-Cost VTOL Development with Fire Detection via ML

The objective of this project is to design and develop a small-scale, cost-effective VTOL drone equipped with a flight controller and a fire detection system using machine learning (ML). The drone should be designed with modularity in mind, allowing for future sensor and component upgrades. Given budget constraints, the project will focus on using standard cameras and ML-based fire detection instead of expensive thermal cameras. Students will be responsible for developing the drone’s software, integrating sensors, and implementing the ML-based fire detection system while ensuring the design is scalable for larger applications.