Car Comparison & AI Farming Platform

I’m commissioning two linked yet distinct web-based solutions and would like them developed within the same codebase for easier future maintenance.

1. Bold and colorful car library
On the home page a visitor can type a car’s name or model number and instantly receive key facts: speed, acceleration, core advantages and disadvantages. Because “family seeing car” matters too, the comparison must also display fuel efficiency and mileage alongside the speed and performance metrics. When users pick two—or even several—models, a clean side-by-side comparison table automatically populates so differences are obvious at a glance. A friendly admin panel should let me update specs easily without touching code.

2. AI farming assistant
Farmers will log in, mark out their plots, add each plant, and then connect my AI farming equipment (sensors for moisture, NPK and pest activity). The software must analyse the live data and tell the grower, in plain language, exactly when the plant needs water, fertiliser or pesticides. A simple dashboard with colour cues is enough; accuracy and low latency are the priorities.

Core stack is flexible, but modern responsive web tech (React / Vue / Django / Node, etc.) and an easily scalable database are preferred. If you plan to use machine-learning libraries (TensorFlow, PyTorch, scikit-learn) for the farming logic, please mention which one and why.

Deliverables
• Source code and documentation for both modules
• Deployed demo on a test server
• Admin credentials and a quick-start video or walkthrough

Acceptance will be based on:
• Car page loads and comparison table render correctly on desktop and mobile
• All required car data fields present and editable in admin
• Farming dashboard shows live sensor readings and accurate recommendations when test data is fed in

I’m looking forward to seeing how you can bring these two ideas together in a streamlined, user-friendly platform.