Desenvolvimento de Atendimento Automatizado via WhatsApp

@corpmember29

LET'S BUILD A POWERFUL, PRIVACY-FIRST SOLUTION THAT ELEVATES YOUR AGENCY'S WHATSAPP AUTOMATED SERVICE! With over 12 years of experience in the IT domain, we’ve delivered cutting-edge solutions across AI, automation, and cloud-based platforms. Our team has worked on similar projects, ensuring robust, secure, and scalable systems tailored to client needs. Project Breakdown: LLM Integration (Llama 3 or higher): We’ll implement an open-source LLM directly on your VPS to ensure data privacy, avoiding external API dependencies. RAG (PDF) integration for specific niche document consultations. Agent Architecture: Orchestrator Agent: Handles initial triage of incoming requests. Sentiment/Quality Agent: Monitors customer emotions, triggering alerts or retention actions. Specialized Agents: Multiple sub-agents to handle logistics, activities, and operational queries. WhatsApp Integration: Using Evolution API (or equivalent) to seamlessly integrate with WhatsApp for real-time communication. Infrastructure Setup: Configuring Docker, Ollama, and vLLM on your VPS for efficient scaling and management. Deliverables: Fully functional system on your VPS. Integration with WhatsApp using Evolution API. Optional log panel for monitoring activities. Documentation on setup, rollback, scaling, and monitoring. Let’s get started and create an efficient, scalable, and private solution for your clients! Best,

@nikhilgarg96

Hello, With over a decade of experience in software development, I am the perfect fit for your WhatsApp automation project. I have an adept understanding of both frontend and backend technologies, a skill set which is crucial for this project given its complexity involving AI, Laravel, Docker/Ollama/vLLM, and more. My proven ability to deliver seamless experiences combined with my proficiency in Llama 3 or above guarantees complete data privacy without any reliance on external APIs. Furthermore, my experience related to cabin crew services has given me intimate knowledge about travel and tourist preferences - a valuable skill to have when developing user-specific intelligent systems like RAG (PDF). My portfolio will bolster confidence in my capabilities given that it includes the successful implementation of AI-powered chatbot systems. Given all the skills I bring to the table combined with an affordable budget plan and a bachelor's degree in technology, it's clear I'm the ideal candidate for this job. Let's connect and reshape the way your agency serves its clients! With Regards!

@Herculesz

Hi I have strong experience building private multi-agent AI systems with self-hosted LLMs, RAG pipelines, WhatsApp integrations, and Docker-based deployment on VPS environments. The main technical challenge in your project is combining strict data privacy with reliable multi-agent orchestration, niche-specific retrieval, and real-time WhatsApp service without depending on external AI APIs. I can build a fully self-hosted architecture using Llama 3+ with Ollama or vLLM, a RAG layer over your PDF knowledge bases, and an orchestrator agent that routes conversations to the correct specialist agent. I can also implement a sentiment and quality-monitoring agent that detects frustration or emotional risk signals and triggers retention flows or human escalation when needed. For WhatsApp, I can integrate through Evolution API or a similar provider, ensuring the message flow is stable, isolated, and aligned with your privacy requirement. My approach focuses on secure infrastructure, containerized services, maintainable agent prompts and routing logic, and clean extensibility for new travel niches or operational rules later. I have worked on AI agent systems involving self-hosted inference, document-grounded answering, workflow routing, and business-process automation where privacy and technical specialization were critical. The final solution will be practical, secure, and structured for real agency operations rather than a basic chatbot demo. Thanks, Hercules

@kareemmaize

Hi there To deliver your WhatsApp automation system, the most critical part is building a reliable “arquitetura de agentes” with a fully local LLM (Llama 3) while maintaining performance and privacy. I’ll approach this by setting up a Docker-based stack (Ollama/vLLM) and designing an orchestrator agent that routes queries to specialized agents with RAG-powered context from your PDFs. This means I understand how to structure multi-agent systems, handle sentiment detection, and ensure responses remain accurate and fast without external APIs. My process is simple: Set up local LLM infrastructure and RAG pipeline Build orchestrator + specialist agents with clear routing logic Integrate WhatsApp (Evolution API) and implement logging/monitoring I’m ready to begin with a working local LLM + RAG prototype, then expand into full agent orchestration and WhatsApp flow. If this aligns, we can discuss in detail in chat..

@abhisaini0188

Olá, Tenho experiência no desenvolvimento de sistemas multi-agentes com LLMs open-source rodando em VPS (Ollama/vLLM), incluindo pipelines RAG com PDFs e arquiteturas focadas em privacidade total (sem APIs externas). Posso estruturar: Orquestrador + agentes especialistas por domínio Agente de sentimento (classificação + triggers de fallback humano) RAG por nicho com embeddings locais Integração WhatsApp via Evolution API Deploy completo em Docker com monitoramento básico/logs Já desenvolvi fluxos semelhantes com atendimento automatizado e posso compartilhar demo funcional para validação. Stack: Python, LangGraph-like orchestration, Ollama/vLLM, vector DB Posso enviar LinkedIn e acesso para teste do sistema. Pergunta rápida: Qual volume médio de mensagens/dia esperado? - Abhi

@codefusion53

Hi, I understand you need a fully private, multi-agent AI system for WhatsApp using open-source LLMs, focused on travel support with specialized agents, RAG over PDFs, and strong orchestration and sentiment handling. The key is data privacy, modular intelligence, and reliable real-time responses. My approach would be to deploy a local LLM stack using Llama 3 via Ollama or vLLM on your VPS with Docker for scalability. I would design a multi-agent architecture where an orchestrator routes queries to domain-specific agents, while a sentiment agent monitors tone and triggers escalation when needed. RAG will be implemented using vector embeddings from your PDFs to ensure accurate, context-aware answers. Integration with WhatsApp will be handled via Evolution API, with structured logging and optional admin visibility. Before delivery, I will test agent routing accuracy, response quality across scenarios, sentiment detection reliability, and full WhatsApp interaction flow under load. Documentation will cover setup, scaling, and maintenance. Best, Justin

@mughiraaa

hi! i have reviewed the details of your project and i can do this!!. we have handled similar projects successfully, and I am confident we can deliver high quality results for you. we prefer clear communication and regular updates so that the project progresses smoothly and meets your expectations. let's have a detailed discussion, as it will help me give you a complete plan, including a timeline and estimated budget. I will share my portfolio in the chat to show relevant examples of our past work. looking forward to your response. mughiraa

@abdulhamidh2

Olá, Seu projeto é tecnicamente sólido e muito bem estruturado—exatamente o tipo de sistema multi-agentes que gosto de desenvolver. Tenho experiência com LLMs open-source (Llama/Ollama), arquiteturas RAG com PDFs e sistemas de agentes especializados, além de integrações via WhatsApp (Evolution API) rodando em VPS com Docker. Posso implementar um orquestrador + agentes especialistas + análise de sentimento, garantindo total privacidade (sem APIs externas) e uma arquitetura escalável e bem isolada. Minha abordagem será: infraestrutura local (Ollama/vLLM), pipeline RAG por nicho, roteamento inteligente entre agentes e logs estruturados para monitoramento. Também posso incluir mecanismos de fallback humano e otimização de prompts para respostas mais naturais e eficientes. Estimativa: setup inicial €2,000–€4,000 | suporte contínuo opcional €200–€500/mês. Posso compartilhar um demo funcional e meu perfil profissional na próxima conversa. Vamos alinhar os detalhes e começar—tenho total confiança em entregar um sistema robusto e pronto para produção. Atenciosamente, Abudulhamid

@haseebsidd07

Hey , I just finished reading the job description and I see you are looking for someone experienced in AI Model Development, Graphic Design, Linux, PHP, AI Development, AI Chatbot Development, AI Agents and Android. This is something I can do. Please review my profile to confirm that I have great experience working with these tech stacks. While I have few questions: 1. These are all the requirements? If not, Please share more detailed requirements. 2. Do you currently have anything done for the job or it has to be done from scratch? 3. What is the timeline to get this done? Why Choose Me? 1. I have done more than 250 major projects. 2. I have not received a single bad feedback since the last 5-6 years. 3. You will find 5 star feedback on the last 100+ major projects which shows my clients are happy with my work. Timings: 9am - 9pm Eastern Time (I work as a full time freelancer) I will share with you my recent work in the private chat due to privacy concerns! Please start the chat to discuss it further. Regards, Haseeb,

@devbaloni1983

Hello, Hope you're doing great! I am a Professional PHP Developer who builds secure, high-performance, and business-focused web applications. I work with custom PHP as well as modern frameworks, ensuring every project is scalable, optimized, and easy to maintain for long-term growth. What I Do Custom web applications and business automation systems REST API development and third-party API integration Secure authentication systems, admin panels, and dashboards Fast, responsive, and mobile-friendly websites Website migration, bug fixing, code refactoring, and performance optimization Why Clients Prefer My Work Clean project structure with scalable architecture Secure coding standards with optimized performance Clear communication and professional approach On-time delivery with regular progress updates Focus on long-term reliability and maintainability Ready to Start Share your project requirements or reference website — I will carefully analyze it and provide: Best technical strategy and development plan Clear timeline with milestone breakdown Transparent budget estimate Looking forward to building a powerful and successful solution for you!

@nemanjac6

Olá! You’re looking to criar um ecossistema multi-agentes para atendimento WhatsApp, eu trataria isso construindo Llama 3 self-hosted com pipeline de RAG e agentes independentes em Docker na sua VPS. O ponto crítico aqui é garantir privacidade total enquanto mantemos latência baixa no processamento local. Já desenvolvi arquiteturas similares usando Ollama + vLLM com Evolution API entregando fluxo estável em produção. I’d structure it like this: • Deploy do modelo (Llama 3+) com fine-tuning leve e embeddings locais para PDFs do nicho. • Implementação dos agentes: orquestrador, sentimento/qualidade e especialistas, cada um com contexto e regras próprias. • Integração com Evolution API + painel simples de logs em PHP/Node para rastrear diálogos. Meu insight: separar o agente de sentimento em worker dedicado reduz gargalo e melhora respostas humanas em casos críticos. Qual volume diário de atendimentos o sistema deve suportar para dimensionarmos corretamente os modelos e contêineres? Open to digging into this further. - Nemanja

@shawanay

Hi there, I have read and understood your requirements and I am ready to start as soon as you are ready. Kindly award me the job to get started. Cheers, Shawana

@MQamar123

With a deep passion for programming and a strong technical background, I am confident that I am uniquely positioned to handle your project on automated WhatsApp customer service effectively and efficiently. My extensive experience - spanning over 7 years - in various aspects of software development, particularly web and app development, alongside my aptitude in languages and frameworks such as Node.js, React.js, Flutter, Python among others, perfectly aligns with the technical requirements of this project. I also want to emphasize that privacy is of utmost importance to me. Being strictly bound to implement LLM Open-Source (Llama 3 or superior) on your server without any reliance on external APIs like OpenAI provides an additional sense of quantified trust in terms of data security. My AI proficiency comes into play not only with task-specific agents but also with the intelligent design of the Automated Service – from an Orchestration Agent that will lead for initial screening to an Agent dedicated solely to monitoring customer sentiments ensuring a tailored response system for every need – be it logistics or information/operational. With my diverse skills and adaptability to new technologies, I believe I can provide substantial value to your travel agency.

@shushmobiweb6

HELLO, I checked your requirement clearly and understand you need um sistema de ATENDIMENTO AUTOMATIZADO VIA WHATSAPP COM IA MULTI-AGENTES com foco em privacidade total e LLM open-source. Com 8+ anos de experiência em IA, NLP, arquiteturas multi-agentes e sistemas backend escaláveis, posso desenvolver uma solução completa rodando 100% em sua VPS. <<-------PROPOSED APPROACH:------->> • Implementar LLM open-source (Llama 3+) via Ollama/vLLM em ambiente Docker (sem APIs externas) • Construir arquitetura multi-agentes: – Agente Orquestrador (triagem inicial) – Agente de Sentimento (detecção de frustração + alertas) – Agentes Especialistas (Logística, Atividades, Informações) • Implementar RAG com PDFs (base vetorial por nicho) • Integração com WhatsApp via Evolution API • Garantir segurança, isolamento de dados e alta performance <<--------CORE FEATURES:------->> • Atendimento automatizado inteligente via WhatsApp • RAG com documentos (PDFs) • Análise de sentimento em tempo real • Sistema multi-agentes especializado • Total privacidade (LLM local) • Escalável e modular <<--------Delivery:------->> • Sistema completo configurado na VPS • Integração WhatsApp funcional • (Opcional) painel de logs/monitoramento • Documentação + suporte inicial Posso compartilhar demo funcional + portfólio mediante contato.

@nicolasalexandro

Posso desenvolver um fluxo de atendimento automatizado via WhatsApp usando um ecossistema de múltiplos agentes de IA, alinhado ao seu contexto e às necessidades específicas do seu negócio. Trabalho focado em conversas naturais, respostas rápidas e integração limpa com ferramentas já usadas pela sua equipe. Tenho experiência prática em criação de chatbots inteligentes para WhatsApp e outros canais, incluindo orquestração de múltiplos agentes (FAQ, suporte, qualificação de leads, repasses humanos) e uso de APIs como WhatsApp Cloud API, CRMs e bases de conhecimento personalizadas. Minha abordagem é mapear primeiro os casos de uso prioritários, desenhar o fluxo conversacional, definir os agentes e suas responsabilidades, integrar com o WhatsApp e sistemas internos, e por fim testar, ajustar e documentar tudo para uso da sua equipe. I would love to chat more about your project! Regards

@seandinwiddie

Hi, I’m confident I can help you build a secure, multi-agent AI WhatsApp assistant for your travel agency that runs entirely on your VPS, prioritizing data privacy and specialized knowledge handling. With experience in deploying LLMs like LLaMA 3 and multi-agent orchestration, I can deliver a system that meets your technical and operational requirements. I will start by setting up an Open-Source LLM (LLaMA 3 or vLLM) on your VPS using Docker, ensuring full local control and no external API usage. Next, I will implement the multi-agent architecture: Orchestrator Agent – triages incoming messages Sentiment/Quality Agent – monitors user sentiment and triggers alerts for human intervention if frustration or sadness is detected Specialist Agents – provide domain-specific responses for logistics, activities, operational info, bookings, and discounts I will integrate the system via WhatsApp (Evolution API or equivalent), and optionally create a logging dashboard for monitoring interactions. Finally, I will provide full documentation and a setup walkthrough so you can maintain and scale the system, along with optional support for updates or additional agents. Let’s discuss your VPS specs and preferred integration method so I can provide a detailed setup and support estimate, and share a functional AI demo for evaluation.

@chiragardeshna

Hi there, Strong alignment with this project comes from building privacy-first AI systems with multi-agent architectures deployed on self-hosted infrastructure using open-source LLMs. Clear understanding of developing a WhatsApp automation system with orchestrator, sentiment analysis, and domain-specific agents integrated with RAG over PDF knowledge bases. Hands-on expertise with Python, Ollama/vLLM, Docker, and API integrations ensures secure deployment on VPS, structured agent workflows, and seamless WhatsApp connectivity via Evolution API. Risk is minimized through strict data isolation, monitored agent outputs, sentiment-triggered escalation, and reliable logging for system transparency. Available to start immediately—can share a working demo, budget estimate, and profile on request. Recent work: https://www.freelancer.com/u/chiragardeshna Regards Chirag

@DngPhgNam

⭐⭐⭐⭐⭐ ✅Hi there, hope you are doing well! Tenho experiência em desenvolvimento de sistemas de atendimento automatizado via WhatsApp utilizando agentes multi-especialistas que funcionam com integração em servidores privados, garantindo total privacidade e rapidez na resposta. O ponto mais importante para o sucesso deste projeto é a implementação segura e eficiente da LLM Open-Source hospedada na VPS, sem depender de APIs externas, para assegurar a privacidade dos dados do cliente. Approach: ⭕ Configurar e deployar Llama 3 ou superior na VPS com Docker e vLLM. ⭕ Desenvolver arquitetura de agentes incluindo orquestrador, agentes de sentimento/qualidade e sub-especialistas específicas. ⭕ Implementar consulta RAG para bases documentais PDF nichadas. ⭕ Integrar via API Evolution para atendimento via WhatsApp. ⭕ Construir painel de logs para monitoramento (opcional). ❓Qual será o volume esperado de atendimentos simultâneos? ❓Existe base documental pronta para integração RAG ou precisará ser estruturada? ❓Preferência por linguagem de backend para o painel de logs? Tenho plena confiança que combinando minha experiência técnica com atenção à privacidade, entregaremos uma solução robusta e escalável para sua agência de viagens. Atenciosamente, Nam

@Alesha1018

As an experienced software engineer and AI developer, I am confident that I can develop an amazing automated customer service solution for your travel agency. To address your concerns on privacy, I'm skilled in implementing LLM Open-Source technologies such as the Llama 3, ensuring your data remains secure in your VPS/Servidor without the need for external APIs like OpenAI. My expertise in Multi-Agent Ecosystems architecture will enable me to build an effective system with agents that handle initial triage, monitor customer sentiment, and provide domain-specific responses from logistics and activities to operational information. In terms of deliverables, I understand the need for efficient integration with WhatsApp and can use Evolution API or similar technologies. While not mandatory, I believe a comprehensive log panel would make for easier monitoring and feedback which I'll be happy to provide. Additionally, with my proficiency in infrastructure setup using Docker/Ollama/vLLM I can ensure a smooth and well-configured operation on your VPS.