Real-Time Chicken Crossing Analytics

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Full Stack

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About this role

Python, Data Processing, Mobile App Development, Android, Arduino, Data Analytics, API, Embedded Systems · I need a compact bot that taps directly into motion-sensor feeds positioned along a rural roadway and turns that stream into usable, real-time analytics about chicken crossing patterns. The goal is not merely to log when a bird is detected; I want the system to recognise multiple chickens, track direction and speed, flag unusual behaviour, and expose the insights through a lightweight dashboard or API I can query from a farm-management app.

You will handle the full pipeline: ingesting raw motion-sensor output, filtering noise, running the analytics logic, and pushing formatted events in under a second. Please keep the solution hardware-agnostic—sensors deliver standard digital pulses at 10 Hz—so swapping in future devices is painless. A small data buffer for brief outages and basic health metrics (uptime, dropped packets) should be included.

Deliverables • Source code with clear build/run instructions • Configuration file for sensor endpoints and thresholds • Live dashboard or documented JSON endpoint showing count, direction, speed, and anomaly alerts • A read-me that explains how to add new sensors without code changes

Acceptance criteria 1. System processes at least