Integrare model AI Jobs

I have daily batches of 10 photos where I need the garment from photo A placed convincingly on the person in photo B. Backgrounds stay exactly as they arrive, and the clothing must look like a perfect fit compared to the model I send you. Once the swap is done, add the relevant size or measurement tag I provide in a clean, readable spot on each image. You may work with whichever AI pipeline you trust—Stable Diffusion inpainting, Photoshop Generative Fill, or similar—as long as the final result is seamless and ready the same day the files are supplied. Turn-around speed and natural-looking composites are more important to me than the specific software you choose. The whole set pays $4 and, if your edits stay consistent and realistic, I’ll be happy to keep sending new bat...

Enterprise RAG + Vector Search Implementation for AI-Powered Facility Management System" - "Production RAG System: Materialized Views + Vector Embeddings + LLM Integration" - "AI-Powered Knowledge Base: RAG Integration for Facility Management Platform" [Project Description (copy-paste ready):] I need an experienced AI/ML engineer to implement a production-grade Retrieval-Augmented Generation (RAG) system for our facility management platform. Scope: - Database optimization (materialized views, dimensioning) - Vector embeddings implementation (pgvector, Supabase) - Semantic search integration - Full-text search capabilities - RAG pipeline for TrackPlan + Armadillo data sources - LLM integration with Gemma 3 12B Deliverables: - Optimized database layer with materi...

I need an AI-powered chatbot fully integrated with WhatsApp to drive sales and lead generation for my business. The bot must be able to greet new contacts with a personalized welcome, recommend relevant products based on their replies, and send smart follow-up messages that nurture the conversation until the prospect converts or asks to speak with a human. Key requirements • Seamless connection to the WhatsApp Business API (Twilio, 360dialog or a comparable gateway are all fine). • Natural-language understanding so the bot can pick up intent, handle objections, and upsell intelligently—Dialogflow, Rasa, GPT-based models or similar NLP engines are acceptable. • Simple dashboard or webhook endpoints where I can update product info and track captured leads. &bull...

Fix & Improve Financial Modeling Accuracy for Real Estate Analysis Platform I have a real estate analysis app built with Python FastAPI. I need help checking and fixing a calculation issue in the backend. Some of the financial numbers are not coming out correctly, so I want someone to review the logic and fix the accuracy problem. This is a small task for now, not a full rebuild. You should be comfortable with: - Python - debugging calculation logic - financial formulas - Real estate experience is a plus. Please include your proposal your related experience regarding Real Estates Start your proposal with Financial Modeling Expert.

Fix & Improve Financial Modeling Accuracy for Real Estate Analysis Platform I have a real estate analysis app built with Python FastAPI. I need help checking and fixing a calculation issue in the backend. Some of the financial numbers are not coming out correctly, so I want someone to review the logic and fix the accuracy problem. This is a small task for now, not a full rebuild. You should be comfortable with: - Python - debugging calculation logic - financial formulas - Real estate experience is a plus. Please include your proposal your related experience regarding Real Estates Budget: $15-20 fixed Start your proposal with Financial Modeling Expert.

Hello, this project consist of multiple requirements : on ubuntu server : 1- Re-install OpenClaw and build a new postgres database and connect it to it. 2- Connect OpenClaw with Telegram bot. 3- Test an automated action using n8n to receive a command from Telegram bot and pass it through OpenClaw and return the action to the Telegram Bot to make sure it is connected to OpenClaw. I need expert in n8n , OpenClaw and operating system and Database.

Necesito una demostración funcional de un asistente de voz pensado para mostrar a potenciales clientes empresariales cómo la IA puede gestionar citas con clientes. El objetivo es que, mediante comandos de voz naturales, el sistema: • Solicite la fecha y hora deseadas. • Confirme la disponibilidad. • Programe la cita. • Genere recordatorios automáticos tanto para el cliente como para nuestro equipo. Busco un prototipo claro y estable que pueda ejecutarse en un portátil o en la nube, con interfaz de voz (puedes integrar Google Speech-to-Text, Azure Speech, Amazon Lex o la solución que consideres más ágil). Agradeceré que incluyas un pequeño panel de administración donde se visualicen las citas r...

I already have a working image-recognition model running inside Google AI Studio; now I need it packaged as a production-ready Android app that can be published on the Google Play Store. The heart of the job is wiring the existing model to the camera so recognition happens in real-time. From there, I also want: • User authentication so each person has a secure, personal session • An in-app analytics dashboard that shows usage stats and model performance • Push notifications to re-engage users and announce updates I will supply the AI Studio project and any trained model assets. You would handle the app architecture, UI that feels native on modern Android, the integration of the above features, plus Play Store compliance (privacy policy hooks, adaptive icons, signed ...

Need someone who can build the automation i required using open CLAW or any other AI and allows the user to check the UI while the automation is in process , for human interaction like captcha Should build AI agents and automate the work flow from Email Marketing to a agent working on Job portals , Linkedin etc Should know how to build Web crawlers , Linkedin Crawlers etc

I’m building a next-generation platform centred on Agentic Models—everything from single autonomous agents to full swarms and complex orchestrations that coordinate dozens of specialised LLMs at once. The immediate goal is to turn our R&D prototypes into production-ready systems, then keep scaling them until they can handle real-world, mission-critical workloads. Here’s what the role looks like day to day: • Architect and code large-scale agentic functions, swarms and orchestration layers that can reason, plan and act with minimal human guidance. • Integrate and benchmark state-of-the-art language models (OpenAI, Anthropic, Llama 2/3, etc.) alongside tools like LangChain, CrewAI, Semantic Kernel or your own preferred framework. • Optimise memory, ...

I want to build an AI agent that can pose the same research question to at least five different large-language-model APIs (e.g. GPT-4, Claude, Cohere, Palm, Llama-2 via Hugging Face) and capture every answer in real time inside a single Google Sheet. The workflow should look like this: 1. I type or paste a prompt once. 2. The agent forwards that prompt concurrently to each chosen LLM. 3. As soon as each model replies, the agent writes a new row to my Google Sheet with these columns: timestamp, prompt, model name, full response, and any cost/latency data you can easily expose. 4. When all models have answered, the sheet shows a complete, side-by-side record that I can analyse for research purposes. Language and stack are flexible; pick whatever lets you move fast (Python, JavaScript...

I am looking for a rigorous, reactive, and fast-learning collaborator to handle the visual and administrative side of my online stores. Your role will be to generate high-quality visuals using AI and prepare optimized product listings. Mandatory Technical Requirements • Hardware: A high-performance computer capable of smooth multitasking and high-resolution AI image generation. • Connection: Stable, high-speed internet (essential for uploading images and using AI tools). • Software: Ability to use Gemini (Google) for image creation. Precise prompts and instructional videos will be provided. Daily Tasks 1. Image Generation: Create attractive visuals via Gemini following my specific video instructions. 2. Content Preparation: Write descriptions following a strict struct...

I need an AI-powered chatbot fully integrated with the WhatsApp Business API. It must converse fluently via text, understand incoming voice notes, and react appropriately to images or short video clips sent by users. I’m open on the underlying stack—Dialogflow, Microsoft Bot Framework, IBM Watson, or any other platform you believe best fits WhatsApp’s constraints—so long as latency stays low and the solution can scale as traffic grows. Core deliverables: • End-to-end WhatsApp Business API setup (webhook, number verification, cloud or on-prem hosting). • NLP pipeline that handles:  – Text intent recognition and response generation.  – Speech-to-text for voice messages, with the transcript feeding the same intent flow. &...

I want to roll out an AI receptionist whose single role is to speak with customers and give them clear, accurate information about our products and services. A caller (or site visitor) asks a question, the system turns that speech into text, pulls the correct answer from a knowledge base I will supply, and then replies in smooth, human-sounding audio—no appointment booking, no generic FAQ chatter, just concise product guidance. Here is the scope I have in mind: • Speech-to-text captures the question. • An NLP layer (LLM, Dialogflow, Rasa, or a framework you recommend) matches the query to the right answer. • Text-to-speech returns the response in natural audio, ideally with a custom voice so it feels branded. • The module plugs into either my website chat ...