Co-build AI Snow-Agri System

I’m assembling a small founding team to turn our prototype into a full-scale, AI-driven platform that clears snow and services farmland without human intervention. What we have so far • A proof-of-concept vehicle that follows waypoints across large outdoor areas. • Basic perception modules using Python, ROS2 and OpenCV. • Preliminary agronomic data pipeline for crop-health mapping. Where I need your expertise • Robotics software: refine SLAM, obstacle avoidance and path planning so the unit can run truly unattended. • Machine-learning models: train and deploy vision networks that distinguish snow, soil, crops and hazards in real time on an Nvidia Jetson class edge device. • Hardware-software integration: optimise control loops for plough/blower attachments and agricultural implements. • Cloud dashboard: stream telemetry, schedule jobs and push OTA updates via a secure web portal (Node.js or similar). Ideal profile You’ve shipped autonomous or precision-ag systems, or you’re a full-stack ML/robotics engineer eager to become a technical co-founder. An entrepreneurial mindset and willingness to iterate in the field are essential. Deliverables in the first milestone 1. Upgraded autonomy stack that completes a one-hectare test run with <10 cm path deviation. 2. Vision model achieving ≥90 % detection accuracy for snow depth and crop rows. 3. Basic dashboard displaying live position, battery, and job status. If you’re excited to own significant equity in a high-impact robotics startup, let’s discuss how your skills fit our roadmap.

Project ID: 40551029