Find agent skills by outcome

- Scikit-learn (or light ML

no heavy black-box models initially)

- Damage status (None

Minor

You may propose alternatives

but default to:

Maintain a professional

thoughtful

- Fuel type (Petrol

Diesel

At minimum

support the following inputs:

- Manipulation

emotional pricing

- Prefer robust estimators (median

trimmed mean

- Turkey-specific market dynamics (inflation

taxes

You will work in an agent-style

vibe coding approach:

Data

- Users want a fair

data-driven estimate of their car’s real market value.

Data

- Is transparent and data-driven

not speculative

- Resources: Identify and prepare texts

videos

- Execution: Detail how the workshop will be conducted (online

virtual

Education

- Evaluation: Explain how the workshop will be evaluated

mentioning options like journals

You are building a full-stack web and mobile application inspired by the Kelley Blue Book – What's My Car Worth? concept

but strictly tailored for the Turkish automotive market.

Data

- Develop the backend using ${backendTechnology:Node.js}

ensuring secure and efficient data handling.

- Existing marketplaces (e.g.

classified ad platforms) have highly volatile

- Develop a clear plot structure with a beginning

middle

shadows: Minimal

soft-edged

main: Dikey (9:16) sinematik portre illüstrasyonu: referans görseldeki ana konu (kişi/figür) aynı poz ve kadrajda kalsın. Stil: koyu lacivert/siyah mürekkep dokuları ve kalın konturlar; yüz ve kıyafet üzerinde oyma/gravür benzeri ince çizgisel gölgelendirme (etched shading)

cel-shading ile birleşen poster estetiği. Arka plan: düz

Marka

model

style_goal: Referans görseldeki kişiyi/konuyu

aynı kompozisyonu koruyarak yüksek kontrastlı neon-ink poster illüstrasyonu stiline dönüştür.

base_form: Modern GT-class silhouette

low-slung aerodynamic body