AI-Based Tree Height and Canopy Measurement from a Single Photo

Entreprise partenaire — révélée une fois votre stage confirmé

Compétences recherchées

Sujet du stage

Measuring a tree's height today usually means a clinometer, some trigonometry, and a fair amount of guesswork — this project estimates height and canopy width directly from a single calibrated photo, in seconds. What you'll work on : • Build an app capturing a tree photo alongside a reference object or known distance for calibration • Implement a computer vision pipeline detecting the tree outline and computing real-world height and canopy width • Build a simple record of measured trees for urban forestry tracking over time What we're looking for : • Comfortable with React/Next.js and Python (FastAPI/Flask). • Familiarity with Computer Vision / Object Detection is a plus. • Curiosity and a willingness to learn independently. What you'll get : • A technical mentor available for questions, based on a progress report you send in • A real-world project you can showcase in your portfolio • Completion certificate issued based on project progress • Top-performing candidates may be recommended for pre-hire or job opportunities