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AI-Powered Vehicle Classifieds

Freelancer

साझा करें:
placeNZ home_workरिमोट assignmentअनुबंध publicएकत्रित नौकरी · NZ

event25 सित॰ 2026 को प्रकाशित · verifiedहमने 25 सित॰ 2026 को पुष्टि की कि यह अभी भी लाइव है

क्या यह आपका व्यवसाय है?

NZ$ 750 – NZ$ 1.500 प्रति परियोजना

नौकरी के बारे में

I’m building a full-featured classified ads site dedicated to Cars, Motorcycles and Trucks, and I want it to feel as smart and effortless as the best modern marketplaces. Core platform • Front-end and back-end from scratch (responsive web, clean UI/UX). • Seller dashboard for posting and managing listings, buyer accounts with saved searches and alerts. • Secure payments integration for premium ad placements and spotlight features. • Multilingual architecture ready for future language packs. Essential AI layer The must-haves are: 1. Chatbot for instant user assistance—answer FAQs, guide ad creation, help buyers find matches. 2. Recommendation engine that learns from browsing behaviour to surface the most relevant vehicles. 3. Image recognition that auto-detects make/model/body type when photos are uploaded, speeding up ad creation and improving search accuracy. Additional smart touches I’d like included: • Voice-to-text so sellers can dictate ad descriptions. • AI content generation to polish listings and suggest optimal headlines. • AI-driven SEO tuning (schema markup, keyword suggestions, meta tags). • Automated image/video moderation to block inappropriate content. Tech stack is flexible; I’m comfortable with a modern JS framework (React, Vue or Next) paired with a robust back-end (Laravel, Node, Django or similar) as long as it scales. If you prefer a different stack, let me know your rationale. Deliverables • Fully deployed website on my cloud account (AWS or DigitalOcean). • Source code in Git with clear commits and README. • Short admin guide covering AI model training/setup, third-party keys and routine maintenance. • Two rounds of post-launch tweaks (bug fixes or minor UX refinements). Acceptance criteria The chatbot answers at least 80% of the predefined FAQ set correctly. Image recognition identifies vehicle category with 90% accuracy in testing. Recommendation engine lifts click-through rate on suggested listings by at least 15% after two weeks’ live data. Timelines are negotiable, but please outline a realistic milestone plan when you bid. Looking forward to working together on something innovative and genuinely useful for vehicle enthusiasts.

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