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Me gustaría un logotipo para mi negocio web, mi pagina se llama ¨ok koko¨. Quiero algo minimalista, delicado pero que se vea profecional.

...presentarles la propuesta y vender el servicio directamente durante la llamada. Qué espero de ti • Experiencia demostrable en ventas B2B por teléfono, preferiblemente dentro del mercado español. • Español fluido y tono seguro al conversar con propietarios de negocios. • Mentalidad orientada a resultados: cada conversación debe avanzar hacia el cierre. Detalles operativos – 100 % remoto: llama desde donde te sientas más cómodo. – La modalidad de pago es flexible; podemos acordar una tarifa por hora o por venta cerrada. – Si los resultados son consistentes, la colaboración será a largo plazo. Para postularte, indícame brevemente: 1. Tu experiencia especí...

...the medical field. The focus is article-style generation rather than casual chatbot replies or short-form posts, so coherence, correct structure (abstract, introduction, methods, results, discussion, references), and domain-appropriate terminology matter more to me than conversational flair. You’re free to choose the underlying architecture—transformer-based models such as GPT-like variants, T5, Llama, or your own hybrid approach—so long as the final pipeline consistently produces high-quality drafts that read like genuine medical research. I will supply example papers and any additional datasets you ask for; you handle data preparation, fine-tuning, and the evaluation strategy to verify that outputs remain factual, logically organised, and plagiarism-free. De...

...the medical field. The focus is article-style generation rather than casual chatbot replies or short-form posts, so coherence, correct structure (abstract, introduction, methods, results, discussion, references), and domain-appropriate terminology matter more to me than conversational flair. You’re free to choose the underlying architecture—transformer-based models such as GPT-like variants, T5, Llama, or your own hybrid approach—so long as the final pipeline consistently produces high-quality drafts that read like genuine medical research. I will supply example papers and any additional datasets you ask for; you handle data preparation, fine-tuning, and the evaluation strategy to verify that outputs remain factual, logically organised, and plagiarism-free. De...

...pone en "validación pendiente" para el supervisor antes de hacerla oficial. 3. REQUISITOS TÉCNICOS CRÍTICOS (NO NEGOCIABLES) Operación 100% On-Premise: Por seguridad industrial y fiabilidad 24/7, el sistema debe residir en un servidor local dentro de nuestra red. No debe depender de APIs externas para su funcionamiento core. Procesamiento Multimodal Local: Uso de modelos locales de lenguaje (Llama 3.x), visión (LLaVA/Moondream) y audio (Whisper local). Framework de Conectores Extensible: Arquitectura modular para extraer datos de otros sistemas internos (ERP, SCADA, webs de proveedores) mediante APIs o Web Scraping (Playwright/Selenium). Interfaz PWA: Optimizada para Tablets y Móviles en entorno industrial (botones grandes, ...

...feels at home working with large-language-model frameworks to build a text-generation program that will power customer-service chatbot replies. The goal is straightforward: feed the bot a user query and receive a clear, helpful response that sounds natural, stays on-brand, and can be deployed inside our existing support interface. Core needs • Model handling: Need to use offline LLMs, preferably llama 3/opus and gemma as long as latency and accuracy stay competitive. • Prompt/response logic: craft the prompt pipeline so it captures context (conversation history, customer metadata) and returns concise answers without hallucinating policies or numbers. • Safety & tone controls: integrate guardrails for profanity, personally identifiable information, and br...

...(e.g., a laptop, Raspberry Pi, or a high-end tablet) without needing an internet connection. * Custom Knowledge Base (RAG): I will provide a large volume of PDFs, textbooks, and curriculum documents. The developer must implement a Retrieval-Augmented Generation (RAG) system to ensure the AI answers strictly based on this material. * Local LLM Integration: Use efficient open-source models (like Llama 3, Mistral, or Gemma) that are optimized for local use (quantized versions). * User Interface: A simple, student-friendly interface (Web-based local UI or Desktop App) where students can type questions and get instant feedback. * Scalability: The ability to easily add or update the curriculum folders. Technical Preferences (Suggested) * Backend: Python (LangChain or LlamaIndex) ...

...personal reminders, and “why isn’t this code compiling?” questions should also double as a smart vault for our files. Here’s the flow I have in mind: a user logs in, asks a question, drops in a PDF or an image, and later returns on another device to pick up the threaded conversation or retrieve that file with a quick search. The assistant must therefore combine a solid NLP backbone (OpenAI, Llama-based, or another proven model), a structured storage layer for documents, images, and audio/video, and a clean cross-platform interface built with a shared codebase to minimise maintenance. Key outcomes I expect from you • A responsive web client, packaged mobile app, and lightweight desktop build that all point to the same backend • Conversat...

...them to YouTube Shorts, Instagram Reels, and TikTok. The Core Requirement: "Premium Quality, Zero Cost" I do not want to use paid APIs (like Midjourney, ElevenLabs, or OpenAI Paid). Your job is to recommend and implement the BEST free tools available in the market right now. I expect you to choose the stack that delivers: Best Scripts: Engaging, viral storytelling (e.g., using Gemini Pro, Llama 3, or similar). Best Images: Consistent, high-resolution 8k cartoon visuals (e.g., Flux, SDXL, Playground – you choose the best free API). Best Voiceover: Human-like, emotional TTS (e.g., Edge-TTS, Bark, or newer free alternatives). Best Editing: Professional cuts, transitions, and perfectly synced subtitles using FFmpeg. The Workflow You Will Build: ...

...locally on the user’s device, while the cloud is used only for authentication, payments, token tracking, ads, and optional AI boost. This is a serious, production grade project, planned in 4 structured sprints, with long term collaboration potential beyond Sprint 4. Core Architecture (Must Follow) SuperAI follows an INSTALL + HYBRID architecture: Local First (Primary) • LLMs: DeepSeek / Qwen / LLaMA • Image Generation: SDXL • Speech-to-Text: Whisper • RAG: FAISS / Chroma Cloud (Optional & Metered) • Groq / DeepSeek API (token-limited) • User authentication & authorization • Payments & subscriptions • Token & usage tracking • Ads on heavy operations Local AI is the default. Cloud AI is an opt in accelerator. _____...

...(document name, excerpt, date, author) Shows confidence level and “as-of” timestamp Developing a simple web UI (FastAPI/Django + React or similar) Using open-source/local LLMs (Ollama, vLLM, etc.) Enforcing security and role-based access (basic level) Preferred Tech Stack (Flexible) Python LangChain or LlamaIndex FAISS or Qdrant PostgreSQL / SQLite FastAPI or Django Local LLMs (Mistral, Llama, etc.) React / simple frontend Deliverables Working chatbot web application Ingestion pipeline scripts Vector search + citation system Documentation for setup and deployment Sample queries and test cases Source code in GitHub repository Who Should Apply We are looking for someone who has: Built chatbot or RAG applications before Experience with document ing...

...responsible for: designing the AI architecture implementing a robust RAG pipeline ensuring traceability, source integrity, and answer reliability supporting the transition from POC to production You will work directly with the product owner (business + regulatory background). Required Skills Strong Python (production-level) Hands-on experience with LLMs: OpenAI / Azure OpenAI and/or local models (LLaMA, Mistral) RAG architectures: embeddings, chunking strategies, retrieval tuning vector databases (FAISS, Qdrant, Weaviate, Pinecone) Document processing: PDFs, OCR, regulatory texts Prompt engineering + response evaluation FastAPI (or similar) Git, Docker Nice to Have Experience with regulatory, legal, pharma, compliance, or financial documents AI Agents / workflow orchestrati...

...embed a royalty mechanism. Alongside the minting process, I want a language model to process the same material—extract keywords, generate a concise summary, possibly produce embeddings—and write those insights back into the token’s metadata or a linked JSON file. Think Solidity (ERC-721 or ERC-1155 with OpenZeppelin), IPFS or Arweave for storage, plus a Python or Node script that calls GPT-4 / Llama via LangChain or similar. This person must also be familiar with setting up a blockchain and wallets. Specifically using AWS to start, but flexible on learing. Deliverables • Hyperledger smart contract with ownership, transferability, and royalty logic ready for main-net deployment • Data ingestion script that uploads assets, builds metadata, and ca...

...embed a royalty mechanism. Alongside the minting process, I want a language model to process the same material—extract keywords, generate a concise summary, possibly produce embeddings—and write those insights back into the token’s metadata or a linked JSON file. Think Solidity (ERC-721 or ERC-1155 with OpenZeppelin), IPFS or Arweave for storage, plus a Python or Node script that calls GPT-4 / Llama via LangChain or similar. This person must also be familiar with setting up a blockchain and wallets. Specifically using AWS to start, but flexible on learing. Deliverables • Hyperledger smart contract with ownership, transferability, and royalty logic ready for main-net deployment • Data ingestion script that uploads assets, builds metadata, and ca...

...chatbot, it is a complete AI suite that combines multiple intelligent modules using open source + low cost APIs. CORE FEATURES TO BUILD 1. Smart Chat (Groq + LLaMA 3) • Normal Chat • Multi-language support • Context memory • Writing assistant • Fast response (Groq API) 2. Deep Research Mode (Perplexity Style) • Live Web Search • Multi source results • Citations • Summaries Search APIs: • Brave Search API • Bing Web Search API 3. Advanced Code / Dev Mode • Frontend code (HTML, React, Flutter) • Backend code (Node.js, FastAPI) • API generation • Code debugging • Folder structure creation Coding Models: • DeepSeek Coder API • Groq Mixtral / LLama 3 4. Image Generation Mode • Stabl...

Necesito una aplicación móvil nativa que grabe tanto llamadas entrantes como salientes, las convierta a MP3 y almacene cada archivo dentro de la propia app para reproducirlo cuando lo desee. Debe estar disponible en Android y iOS. Quiero que la petición de permisos se gestione de forma au...el usuario sólo tenga que aceptar la solicitud del sistema y pueda empezar a grabar sin configuraciones extra. Se que en iOS la grabación es manual, no automática para cada llamada, pero si que debe quedarse el mp3 o recogerlo del propio dispositivo. Además de la función principal de grabación y reproducción, me interesa integrar: • Lista de contactos interna para identificar rápidamente quién llama. &...

...without a rewrite. Here’s the flow I have in mind: I paste or type a prompt, select (or skip) a style, then the system automatically produces a responsive site with editable HTML/CSS/JS, generates at least one high-resolution image plus a short promotional video, and finally presents a clean preview along with download/export options. You are free to mix the models and frameworks you prefer—GPT-4, Llama, Stable Diffusion, DALL·E, Runway Gen-2, React, , Django, Node, etc.—so long as the user experience stays fast and intuitive. I will need full source-code transparency from day one. Every milestone should push to my GitHub organisation, and payment will follow those milestones. Deliverables (acceptance criteria) • Web interface that accepts a p...

...developing the "nervous system" of our agents, ensuring they can reason through non-deterministic environments while maintaining deterministic reliability. Technical Stack Language: Python (Expert level required). Frameworks: LangGraph, CrewAI, or LangChain (Stateful orchestration experience is a must). LLMs: Deep experience with GPT-4o, Claude 3.5 Sonnet, and fine-tuning open-source models (Llama 3/Mistral). Integrations: Shopify API, Stripe API, AWS Lambda, and Pinecone/Milvus for Vector memory. Infrastructure: AWS (Compute optimization for high-inference loads). What You Will Be Doing Architecting Multi-Agent Flows: Designing state-machines that allow agents to "handoff" tasks to one another (e.g., a Support Agent handing off a logistical error to...

...create offline, self-hostable AI models Architect and develop a scalable backend system for AI workloads Create end-to-end AI pipelines optimized for performance and scalability Integrate third-party APIs and AI services where required Collaborate closely with product and engineering teams to turn ideas into working solutions Required Skills & Experience Strong experience with LLMs (OpenAI, LLaMA, Mistral, Gemma, etc.) Hands-on experience with RAG frameworks (LangChain, LlamaIndex, Haystack, etc.) Experience in OCR & Vision (Tesseract, OpenCV, Vision Transformers, multimodal models) Knowledge of speech systems (TTS, STT, STS) Experience in LLM fine-tuning, quantization, and model optimization Ability to deploy self-hosted / offline AI models Strong backend dev...

...Admin Side 1. Agent Orchestration Engine: Handle multiple agents working asynchronously. Integrate AI APIs (GPT-4.1 / LLaMA 3 / Gemini API) Support chain-of-thought reasoning & multi-step workflows. 2. Task Logging & Monitoring: Full logs of user goals, agent actions, and outputs. Admin panel to monitor AI performance. 3. User Management & Subscription System 4. Optional: Integration with external tools (Google Docs, Notion, PDF APIs). --- 3️⃣ Tech Stack Recommendations Frontend: React / or Flutter (mobile) Backend: Python (FastAPI) or Node.js Database: MongoDB / Firebase; Vector DB (FAISS / Pinecone optional) AI Integration: GPT-4.1 / LLaMA 3 / Gemini API Agent Framework: LangChain or custom multi-agent orchestration Hosting: Vercel /...

...so replies remain contextually precise and emotionally aware. Context tracking, multilingual support, and voice add-ons are nice-to-have but not essential for this phase if they complicate delivery. What I expect from you • Design the dialogue flow and intent schema that targets developer-centric queries. • Select or fine-tune an appropriate large language model (OpenAI API, Claude, Meta Llama, etc.) and wire it up through a lightweight backend (Python/FastAPI, Node/Express—your call). • Implement sentiment detection to adjust responses dynamically (e.g., calming frustrated users). • Provide a short training pipeline so I can expand intents or retrain embeddings without touching core code. • Supply deployment instructions and sample int...

Tengo varios clips de pantallas y platos listos y un guion por cada pieza; necesito que los transformes en reels verticales con un acabado clásico y elegante. El trabajo incluye: • Edición completa (corte y ritmo) • Ajuste fino de color para resaltar texturas y tonos naturales • Animaciones de tex...YouTube Shorts Trabajo normalmente con Premiere Pro y After Effects, pero acepto DaVinci Resolve si te resulta más ágil, siempre que mantengas la calidad final. Entrego guion, logos y referencias al inicio; tú me devuelves los archivos editables y el master listo para publicar. Busco alguien detallista que disfrute de esa estética sobria y pulida que transmiten los restaurantes de alta cocina. Si te llama la atención, ...

... ya que por parte del lado del usuario ya está, ahora se requiere desde la app. 2. Al guardar el registro, un flujo (Power Automate) deberá crear, si no existe, una carpeta con ese código único tanto en mi biblioteca de SharePoint como en OneDrive. 3. La foto se sube a ambas carpetas y el flujo devuelve la URL pública (o de uso interno) para almacenarla en el mismo registro de la app que se llama el campo Link Adjuntos Técnico en SharePoint. Acepto recomendaciones sobre licencias, conectores o permisos, pero el resultado debe quedar funcionando end-to-end: capturar, guardar, generar enlaces y mostrarlos de vuelta en la app. Proporciono acceso de prueba a mis entornos de Power Apps, SharePoint y OneDrive, así como el format...

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Have desktop AI chat assistant running local LLMs offline. It's running a Flask web server with a pywebview desktop GUI wrapper, using llama-cpp-python for GGUF model loading and an adaptive AI system that automatically selects models from performance tiers (minimal/low/medium/high) based on hardware detection. The app uses conversation context tracking with topic analysis, reference resolution, and memory monitoring to switch between models when RAM gets tight. Lloading bigger models (like 24B parameter models in the high tier) is failing or crashing - the RAM checks and fallback logic exist but bigger models won't load reliably, possibly due to memory allocation issues during loading, GPU layer configuration problems, or the model switching logic interfering with initi...

...automation script) — backend automation + Bubble frontend + Stripe payments. We need production-ready quality in 4–6 weeks for immediate beta launch and cash flow. Key Requirements Backend Automation (Python – Vercel/Google Cloud Run) Nightly cron (3–7 a.m. GMT, configurable to 2–4× daily) Secure pull from occupier sites (credentials-based login → briefs as JSON/CSV) Custom AI converter (Groq Llama-3 or Mixtral free tier, temperature=0) → structured search criteria from each brief Query premium APIs in priority order: • Searchland Property Data API (planning, ownership, constraints, SHLAA, expiries) • API (lease expiries, off-market signals, comparables) • HM Land Registry fallback for basics Merge results, fuzzy d...

I have an Excel workbook with roughly two-thousand historical service-order records. Each row carries an Order Number, a short Failure Summary, a detailed Post-Fix Comment that states the root cause, plus a few supporting fields such as date and ticket references. For this pilot I want to plug that data into a lightweight Llama model and prove we can replace basic string filtering with something smarter. A user should be able to type any keyword or suspected root cause, press search, and immediately receive the most relevant matches—not simply the latest entries or those with the highest count. Every hit must display at minimum the Order Number, Date of Occurrence, and the full Post-Fix Comment so trends are obvious at a glance. Scope of work • Load my Excel source ...

vps1 : 1- consumir api de votantes 2- poner en configuración en cuanto llama o llamada automática. vps2: 1- editar los filtros para escucha social 2- poner otro cuadros de información.

...every request as a structured business problem. It plans the work, executes tasks methodically, reviews outputs for accuracy and compliance, and continuously monitors for risk—mirroring how a competent human team would operate inside an organization. Built specifically for enterprises with strict data governance requirements, Perseus runs 100% on-premise using local large language models such as LLaMA and Mistral. No data leaves the organization’s infrastructure, eliminating dependency on external AI providers and ensuring full data sovereignty. This makes Perseus suitable for regulated industries where confidentiality, compliance, and security are non-negotiable. At the core of Perseus is a multi-agent architecture that separates responsibilities across four specia...

...about animals and pets.” Features Simple Q&A UI Instant responses Optional admin moderation Store Q&A in searchable database/FAQ Source attribution for AI-generated answers Show related internal content links 12. AI Licensing & Integration Possible options: OpenAI (ChatGPT API – paid, topic-restricted) Anthropic Claude API Hugging Face hosted models Self-hosted open-source models (LLaMA, Falcon) Preferred OpenAI API with strict topic filtering & cost controls Deliverables Fully optimized and secure WooCommerce website Correct Google Search Console indexing Improved SEO health and crawlability Faster page load and server response times Clean plugin & theme environment Functional Pet News section AI-powered Pet Q&A system ...

I want to turn plain text prompts into full, explorable open-world maps. The heart of the job is fusing a large-language model with a procedural pipeline so that, for example, the phrase “snow-capped range sheltering a frontier town beside a frozen lake” instantly spawns a playable scene inside a modern game engine. Scope • Integrate an LLM (GPT-4, Llama 3 or similar) that interprets user prompts and outputs structured generation parameters • Build or adapt a terrain generator that converts those parameters into heightmaps, biomes, vegetation, roads and settlement placeholders • Stream the data into either Unity or Unreal—whichever you are fastest with—and auto-populate meshes, materials and lighting so the world loads in-engine with no ...

...​Implementación de capacidades de Computer Vision (o interacción vía APIs de accesibilidad) para que la IA "vea" la interfaz gráfica y pueda navegar por aplicaciones que no tienen línea de comandos. ​Manejo de sistemas de archivos y gestión de procesos a nivel de sistema operativo. ​4. Razonamiento Estratégico (Chain-of-Thought): ​El núcleo debe ser un modelo avanzado (GPT-4o, Claude 3.5 Sonnet o Llama 3 Fine-tuned) configurado para planificación de objetivos a largo plazo. ​Si un ataque falla, la IA debe analizar el error, ajustar su estrategia y re-programar sus herramientas para un nuevo intento. ​Stack Tecnológico Sugerido: ​Frameworks de Agentes: CrewAI, Microsoft Autogen o LangGraph. ​Lengu...

I want to turn plain text prompts into full, explorable open-world maps. The heart of the job is fusing a large-language model with a procedural pipeline so that, for example, the phrase “snow-capped range sheltering a frontier town beside a frozen lake” instantly spawns a playable scene inside a modern game engine. Scope • Integrate an LLM (GPT-4, Llama 3 or similar) that interprets user prompts and outputs structured generation parameters • Build or adapt a terrain generator that converts those parameters into heightmaps, biomes, vegetation, roads and settlement placeholders • Stream the data into either Unity or Unreal—whichever you are fastest with—and auto-populate meshes, materials and lighting so the world loads in-engine with no ...

...models (OpenAI, Google Gemini, Llama, Stability, and other open-source models). The platform should be fast, scalable, and built with a modern tech stack. -Key Requirements -Core Features Needed (Similar to Higgsfield AI) AI Video Generation (Text → Video, Image → Video) AI Image Generation (SDXL / Flux / OpenAI / Custom models) AI Text Generation (GPT, Gemini, Llama, etc.) AI Audio Generation (TTS & Voice cloning) AI Chat Interface with multi-model selection Media editor/output viewer User dashboard & credits system API integration layer for all models Model switching (user can choose which AI model to use) -Technical Requirements Experience with AI/ML, LLMs, Diffusion Models, Video AI Experience integrating: OpenAI API Google Gemini API ...

Buscamos Editor/a de Reels (trabajo recurrente) Temática: contenido educativo para aprender inglés. -> Queremos a alguien que edite co...empezar. PERFIL QUE BUSCAMOS Persona proactiva, rápida y espabilada: que entienda el estilo a la primera y no necesite que se lo repitan todo. Cómo aplicar (IMPORTANTE) - Empieza tu mensaje con: “Soy (tu nombre) y he leído…” Si no empiezas con esa frase, ignoraré el mensaje (filtro anti-bots). - Tu experiencia (Reels/Shorts). - Con qué programas trabajas. - Enlaces a ejemplos (si tienes). Si nos llama tu perfil, te contactaré y te pasaré uno de prueba para entregar, un único reel. Con eso podré evaluar tu estilo y si te adaptas a lo que queremo...

...eligibility assessment, competitive intelligence, and strategic bid decision-making, based on internal company data and curated competitor intelligence. We are looking to engage an experienced freelancer to design and build a Private Enterprise AI Decision Support System using existing LLM models (no model training from scratch). Scope of Work: Build a secure AI system using existing LLMs (GPT / Llama / Mistral, etc.) Implement RAG-based document intelligence over company data (financials, bank statements, tenders, work orders, certificates) Develop decision-support capabilities (bid/no-bid, eligibility analysis, financial insights) Create a competitor intelligence module to identify probable bidders and analyze historical bidding behavior Ensure data security and explaina...

I’m looking for an experienced tutor to teach me the basics and advanced concepts of AI, Generative AI (Gen AI), and Agentic AI through one-on-one sessions. The goal is to build practical skills, drawing from real-world projects (e.g., real-time voice assistants, self-healing agents, chatbots for fitness/health/finance, sentiment analysis, and integrations with tools like Azure OpenAI, Mistral/LLAMA, LangGraph, and Chroma). Sessions should cover: • AI & ML Basics: Core concepts, machine learning models, deep learning, NLP, computer vision, and tools like Python (pandas, scikit-learn, TensorFlow/Keras, NLTK, spaCy). • Generative AI: Building chatbots, RAG architecture, document intelligence, natural language interactions, and integrations with Azure OpenAI, Apa...

...original fantasy tales on demand, and I need the underlying AI architecture designed and prototyped. The goal is a system that ingests a short prompt (a setting, a character, a conflict) and returns a well-structured story with vivid world-building, consistent lore, and a clear narrative arc. Here’s what I have in mind: • A technical blueprint outlining model choice (OpenAI GPT-4, a fine-tuned Llama, or a custom Hugging Face pipeline) and the reasoning behind it. • A training or fine-tuning workflow that shows where to source or augment a fantasy-focused corpus, plus any prompt-engineering tricks you recommend. • A runnable prototype (Python script or Jupyter notebook) that takes a prompt and produces at least three sample stories, each 800–1,200...

...eligibility assessment, competitive intelligence, and strategic bid decision-making, based on internal company data and curated competitor intelligence. We are looking to engage an experienced freelancer to design and build a Private Enterprise AI Decision Support System using existing LLM models (no model training from scratch). Scope of Work: Build a secure AI system using existing LLMs (GPT / Llama / Mistral, etc.) Implement RAG-based document intelligence over company data (financials, bank statements, tenders, work orders, certificates) Develop decision-support capabilities (bid/no-bid, eligibility analysis, financial insights) Create a competitor intelligence module to identify probable bidders and analyze historical bidding behavior Ensure data security and explaina...

...asked, information provided, and transfer status, then dispatches the summary via email What to include in your reply 1. A short CV or portfolio highlighting relevant conversational AI or telephony projects 2. Links or brief descriptions of at least one similar implementation (call center bots, voice IVR, etc.) 3. Your preferred tech stack—e.g., Twilio Voice, Asterisk, Dialogflow, Rasa, GPT/Llama, AWS or GCP speech services—and why it fits this use case 4. A high-level cost and timeline estimate broken down by milestones (prototype, integration, testing, deployment) I will provide API access to the listings site, SMTP credentials for email delivery, and the phone numbers to be used. Looking forward to seeing how you would bring this smart, caller-friendly ...

...console for uploading/deleting documents and viewing usage stats Acceptance criteria 1. New course material appears in answers within minutes of upload. 2. Homework, registration, or general questions return accurate, sourced replies. 3. Automated tests confirm no PII leaves our environment. When you reply, highlight similar student-facing AI work you’ve completed, your preferred stack (LangChain, Llama-Index, Azure/OpenAI, etc.), and the timeline you’d need to ship an MVP. Project Description I need to build an AI chat system for universities and training centers. The goal is for students to ask questions and get answers only from the academic materials uploaded by the instructors (PDF, Word, images, video links, etc.). The system must use cloud storage for all ...

...as mensagens recebidas e enviar as respostas do robô. * WhatsApp Business (App/Web): A interface que os 3 atendentes humanos usarão nos computadores. 4. Inteligência Artificial (LLMs) * Gemini (Google): Mencionado como opção gratuita/inicial. * Função: Gerar respostas inteligentes e interpretar o texto do cliente. * Groq: Plataforma de inferência ultra-rápida (geralmente usada com modelos Llama). * Função: Uma alternativa veloz para respostas quase instantâneas. * OpenAI (GPT-4o-mini) / Anthropic: (Opções pagas sugeridas para escala). * Função: Modelos mais robustos caso o cliente precise de raciocínio mais complexo no futuro. 5. Banco de Dados e Mem&oac...

...personal identifiers should be stored or surfaced anywhere in logs or dashboards. Here a tutorial without the whatsaap connection or admin panel You are free to work in Python, Node.js or any stack that plays nicely with the official WhatsApp Business Cloud API, but the final bot has to run smoothly on WhatsApp itself—not as a web demo. Leveraging GPT-4, Llama 2-70B-chat, or a similar large language model is fine as long as latency stays low and tone remains consistently affectionate without drifting off-brand or becoming inappropriate. Deliverables • A deployed WhatsApp chatbot reachable through a phone number I control • Persona prompt, memory strategy and any fine-tuning or RAG components that keep replies romantic, relevant and emotionally nuanced

1. Project Overview I am building AI, an India‑focused AI platform where users can chat in Hindi / Hinglish, upload documents, and get answers using multiple AI models (ChatGPT, Gemini, Claude, LLaMA) from one simple interface. I am not a technical person, so I need a freelancer who can build, explain, and guide clearly. This is an MVP (first version) – simple, clean, and working. 2. What I Want to Build (MVP Features) A. User Side (Frontend) Simple website/app (mobile‑friendly) One chat screen (like WhatsApp) Buttons instead of technical options: Likho / Samjhao Document samjhao (PDF upload) Padhai help Business ka kaam Language support: Hindi Hinglish English Clean, non‑technical UI (no model names shown to users) B. AI Logic (Backend) Integrate at least 2 A...

...smoothly inside the browser through WebGPU/WebAssembly. I need a short-term partner who has actually walked this path before and can sit virtually with us, show exactly how to compile a model into the WebLLM format, debug any hiccups, and prove the result works in-browser with stable latency. What I expect from you • A step-by-step script or notebook that converts a standard HF model (think Llama-2, GPT-J, BLOOM or similar) into WebLLM format. • Clear explanation of the conversion tools, flags and weight slicing decisions you use, so my engineers can repeat the process later without you. • A minimal demo web page (TypeScript or vanilla JS is fine) that loads the converted model, allocates buffers correctly, and serves a prompt via WebGPU back-end. •...

Looking for an experienced AI/ML developer to fine-tune and train a chat model for a Central Kurdish (CKB) chat app. Candidate should have experience with: • Open-Source Models (OSS) • LLaMA • Phi (Microsoft) Goal: Improve conversation quality, understanding, and context handling in CKB. - Dataset: We have 50K instruction dataset Please provide examples of previous model fine-tuning projects.

I have a high-resolution photo of a llama and I want a playful yet believable update: a backwards-facing baseball cap seamlessly blended onto its head. Please match the lighting, fur texture and perspective so the cap feels like it was there all along. Deliverables: • One flattened image in the original resolution (JPEG or PNG) with the cap perfectly integrated • A layered PSD or equivalent file so I can tweak the cap later if needed If you work in Photoshop, Affinity, or a comparable editor, that’s perfect—whatever lets you keep edges crisp and shadows natural. Looking forward to seeing the llama’s new look!

...(self-hosted, no third-party platforms like or similar). We already possess a massive, cleaned and anonymised conversation dataset (tens of millions of real messages) that the freelancer will have full access to. Stage 1 – Working Flirty Chatbot (must be delivered first) A complete, production-ready chatbot API that can hold long, engaging, flirty conversations Uses an open-source LLM (Llama 3.1, Mixtral, Mistral, etc. – you choose the best) Runs completely uncensored or minimally censored so it can maintain the desired playful/sexy tone without refusals System prompt + personality engine so we can switch between different bot characters (playful, dominant, shy, intellectual, etc.) Fast response time (<1.5 s) even under load Deployed on cloud or dedicated serve...

We are l...automation developer to create a compact, high-performance AI chatbot system using n8n. The chatbot should process user queries, generate intelligent responses using LLMs, and integrate with our internal APIs for real-time data retrieval. The final workflow must be stable, scalable, and easy to maintain. Core requirements Develop an end-to-end chatbot workflow inside n8n Integrate OpenAI / Llama models for AI-driven responses Implement conversation context, memory, and fallback handling Create webhook/API-based triggers for message intake Connect the chatbot to internal/external APIs for dynamic replies Add proper validation, error handling, and logs in n8n Provide basic technical documentation and handover notes Ensure modularity for future upgrades and feature...

...Lead 5–10 AI/ML engineers; review code, architecture, and deployments • Integrate vector DBs, GPU/CPU inference layers, orchestration tools • Optimize cost, latency, and compute for 100+ town-level channels • Build reusable AI components for summarization, TTS, ASR, moderation, editing • Work closely with product teams for roadmap and feature design REQUIRED TECHNICAL EXPERTISE LLM & NLP: • GPT, LLaMA, Claude, Gemini • RAG pipelines, embeddings, summarization Voice AI: • TTS (Azure, ElevenLabs, Coqui) • ASR (Whisper, NeMo) • SSML, voice cloning, audio DSP Video & Avatar AI: • FFmpeg automation, OpenCV, Whisper • Wav2Lip, SyncNet, avatar generation (D-ID, Synthesia) Computer Vision: • YOLO models, segmen...