Machine learning algorithm updating based on drone data

Western Heritage UAV helps our clients with latest UAV technology to extract valuable information from aerial data. Our UAV system with different configurations can provide Lidar point cloud products (DTM and DEM), thermal inspection and optical mapping service to clients in Pipeline Inspection, Energy Inspection, Forest Survey, Archaeology, Civil Engineering and Road Survey. We are Transport Canada licensed with an Advanced Operations Certificate and have the $1 million Insurance, ISO 9001, COR Safety Certificate to operate in Canada, within urban areas or in close proximity aerodromes. We are looking for Computer Science/Geomatics students to join our machine learning team to develop AI algorithms based on drone imagery.

Machine Learning development based on drone data-Stage 2

Western Heritage UAV helps our clients with latest UAV technology to extract valuable information from aerial data. Our UAV system with different configurations can provide Lidar point cloud products (DTM and DEM), thermal inspection and optical mapping service to clients in Pipeline Inspection, Energy Inspection, Forest Survey, Archaeology, Civil Engineering and Road Survey. We are Transport Canada licensed with an Advanced Operations Certificate and have the $1 million Insurance, ISO 9001, COR Safety Certificate to operate in Canada, within urban areas or in close proximity aerodromes. On the stage 1, the students did a wonderful job to improve our agriculture AI model from 15% to about 65% accuracy, so we plan to apply riipen project again. We are looking for Computer Science/Geomatics students to join our machine learning team to develop AI algorithms based on drone imagery.

Front-end development for a digital health + edtech product

Main Objective This project aims to develop the front-end of Odyssey , a hybrid mobile application that integrates digital health and edtech solutions to support learners with severe autism. The goal is to create an intuitive and accessible platform that enables teachers and parents to implement evidence-based interventions through task analysis and video modeling. Project Overview Odyssey is designed to assist learners with severe autism by digitizing interventions and enhancing accessibility to structured learning experiences. The application will: Enable teachers to create and customize interventions using task analysis and video modeling , incorporating multimedia elements (videos, images, and audio). Allow teachers to design reusable intervention templates for parents to implement at home, ensuring learning continuity. Implement a rewards system based on learners' interests to encourage engagement and progress. Provide personalized dashboards for teachers, parents, and students to monitor progress, manage interventions, and track rewards.