React Chicken Road Crossing Predictor
Budget / Salary€250–750
TypeFreelance project
LocationRemote
Posted1 hour ago
I’m building a small web tool that, given a few situational inputs, returns the probability that a chicken will cross a road. The entire interface and logic need to live in a React app so I can easily host it on a standard web server.
Here’s what I need from you:
• Spin up a clean React project (Create React App or Vite is fine).
• Add a minimal form where I can enter variables such as time of day, traffic level, weather, or any other factors you consider useful.
• On submission, call a clearly separated prediction module that calculates and returns the crossing probability as a percentage. The computation can start with simple, rule-based logic; I just need the structure in place so I can plug in a more sophisticated model later.
• Display the result immediately in a tidy, responsive dashboard.
Acceptance criteria
1. The page loads in any modern browser without build errors.
2. Entering sample data and clicking “Predict” produces a numeric probability between 0 – 100 %.
3. Prediction logic sits in its own file or folder so I can swap it out without touching the UI.
4. A short README explains installation and local run commands.
Send over the codebase and README when you’re done, and I’ll handle the hosting from there.
Here’s what I need from you:
• Spin up a clean React project (Create React App or Vite is fine).
• Add a minimal form where I can enter variables such as time of day, traffic level, weather, or any other factors you consider useful.
• On submission, call a clearly separated prediction module that calculates and returns the crossing probability as a percentage. The computation can start with simple, rule-based logic; I just need the structure in place so I can plug in a more sophisticated model later.
• Display the result immediately in a tidy, responsive dashboard.
Acceptance criteria
1. The page loads in any modern browser without build errors.
2. Entering sample data and clicking “Predict” produces a numeric probability between 0 – 100 %.
3. Prediction logic sits in its own file or folder so I can swap it out without touching the UI.
4. A short README explains installation and local run commands.
Send over the codebase and README when you’re done, and I’ll handle the hosting from there.
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