AI Ad Layout Engine Development

@vasudharao9

Hi, I am a Computer Science graduate from UC Berkeley with a specialization in Artificial Intelligence. I have more than 10 years of experience working in the AI/ML space and can help you with this project. Message me to discuss this further. Thanks

@GameOfWords

AI Ad Layout Engine Development I’m a full-stack software engineer with expertise in React, Node.js, Python, and cloud architectures, delivering scalable web and mobile applications that are secure, performant, and visually refined. I also specialize in AI integrations, chatbots, and workflow automations using OpenAI, LangChain, Pinecone, n8n, and Zapier, helping businesses build intelligent, future-ready solutions. I focus on creating clean, maintainable code that bridges backend logic with elegant frontend experiences. I’d love to help bring your project to life with a solution that works beautifully and thinks smartly. To review my samples and achievements, please visit:https://www.freelancer.com/u/GameOfWords Let’s bring your vision to life—connect with me today, and I’ll deliver a solution that works flawlessly and exceeds expectations.

@amaank66

You’re building more than filtering logic—you need a fast, deterministic Creative Layout Intelligence Engine. I can design and implement a hybrid scoring system that combines lightweight NLP parsing with rule-based ranking to keep latency under 500ms. My approach: • Parse the marketing prompt to extract intent, tone, product cues, and visual emphasis. • Pre-index your 10k+ Fabric templates with structured metadata (tags, hierarchy weight, asset density, format constraints). • Use vector similarity (cached embeddings) plus weighted heuristic scoring for deterministic ranking. • Return the top 3 Fabric-compatible JSON layouts ready for immediate canvas rendering. To ensure speed and stability: • Precomputed template embeddings • In-memory caching (Redis) • Modular ranking service with unit-test-friendly deterministic outputs I’ve worked on recommendation and scoring engines where precision, performance, and clean architecture were critical. The system will be scalable so additional template categories or sports formats can be added later without rewriting the core engine. Best regards, Amaan Khan L. (CUBEMOONS PVT.)

@Visharaa2024

Hello, I can help build the Creative Layout Intelligence Engine for Dazzx that analyzes the user’s marketing prompt, uploaded assets, and design size to recommend the three best ad layouts from your 10,000+ template library. I’ll implement an NLP-based prompt parser to extract intent, tone, and product cues, then match these insights with your tagged templates using a scoring system based on visual hierarchy, asset fit, and semantic relevance. By combining rule-based heuristics with lightweight ML ranking, the engine will return the top three Fabric.js-compatible JSON layouts ready for instant rendering on your canvas. The system will be optimized for sub-500 ms latency, efficient template indexing, and deterministic ranking to pass your unit tests. I have experience building AI-driven recommendation systems, NLP pipelines, and scalable ML solutions, and I’d be excited to help bring Dazzx’s intelligent design engine to production.