AI Automation & Chatbot Build

@ZohaibRoy

⭐⭐⭐⭐⭐ Streamline Workflows with Smart Automation and a Custom Chatbot ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for smart automation and a custom chatbot. You have no need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects focused on automation and chatbots. I will create Python pipelines for data flow and build a chatbot that fits your brand voice, all while ensuring great results within your budget. ➡️ Why Me? I can easily handle your project as I have 5 years of experience in automation and chatbot development. My skills include Python programming, machine learning, and API integration. Not only this, but I also have a strong grip on TensorFlow and Rasa, which will ensure your project is efficient and effective. ➡️ Let's have a quick chat to discuss your project in detail. I’d love to show you samples of my previous work! Looking forward to our conversation. ➡️ Skills & Experience: ✅ Python Programming ✅ Machine Learning ✅ API Development ✅ Automation Pipelines ✅ TensorFlow ✅ Scikit-Learn ✅ Rasa ✅ Dialogflow ✅ Data Analysis ✅ Deployment Scripts ✅ Git Repository Management ✅ Continuous Learning Loops Waiting for your response! Best Regards, Zohaib

@n2rtechnologies

Hi, You're looking to automate internal workflows with ML-powered systems and chatbot integration. Before we build—what's your biggest bottleneck right now, and are these automations replacing manual tasks or augmenting existing tools? Let's talk details. Best Regards, Hasan

@OutsourceMan

In the world of digital transformation, my extensive 18 years of solid industry experience as Raman and my team at CnELIndia bring an unmatched level of technological sophistication to your project. Our profound command over Python, the language that powers most ML projects such as yours, sets us apart. We've earned a stellar reputation for on-target deliverables that straddles intricate integration tasks similar to those required for your project, including working with APIs and knocking together data pipelines to rope diverse data sources into one cohesive system. A fine example is our successful implementation of chatbots and extensive work with Zendesk we've skillfully handled in the past. Leveraging cutting-edge technologies like TensorFlow and scikit-learn, we'll not only ensure seamless integration but also train and refine the custom-built models to get you actionable insights from your data – all while keeping "security" in mind. Moreover, as a premier web and app development enterprise, we're deeply familiar with deploying nearly all tech stacks you've mentioned (viz., Rasa, Dialogflow), employing containers (Docker/Kubernetes), maintaining a clean Git repository, and providing comprehensive documentation. Our commitment doesn't end when we hand over the deliverables: we’ll also furnish you with an incisive handoff guide that meticulously addresses retraining, monitoring, and fallback procedures. Let’s embark on this transformative journey together by hiring me!

@softsolution2000

I understand your need for AI automation and a custom chatbot to streamline workflows and enhance customer interactions. My expertise in Java, Python, ML, and software architecture align well with your requirements. I am confident in delivering accurate predictions and a high CSAT score. I am open to adjusting the budget as we finalize project details. Let's discuss further to ensure a successful collaboration. I am eager to begin and showcase my commitment to your project. Please review my extensive 15-year-old profile for assurance of quality work. Let's connect and kickstart this project together.

@kamran2012

Hi, I will build your predictive automation pipelines and brand-tuned chatbot — churn scoring, lead prioritization via a REST API, and a Rasa-based agent integrated with Zendesk for escalation. For the chatbot, I will implement RAG over your knowledge base rather than fine-tuning alone — this keeps answers grounded in actual docs and makes updates instant without retraining. Questions: 1) What CRM and analytics platforms will the pipelines pull from? 2) How large is the dataset you will supply for model validation? Send me a message and we can go over the details. Best regards, Kamran

@Herculesz

Hi I can help with both tracks by combining Python automation, TensorFlow/scikit-learn model development, API integration, and chatbot engineering into one clean production-ready workflow. A major technical risk in projects like this is fragmented data flow between CRM, analytics sources, prediction services, and support systems, which often leads to unreliable outputs and poor handoff behavior. My solution would focus on building structured ML pipelines, a lightweight prediction API, and a branded chatbot layer that can switch context correctly while integrating with your knowledge base and Zendesk. I have hands-on experience with Python, REST APIs, TensorFlow, scikit-learn, Docker, Kubernetes-friendly deployment, and conversational AI stacks such as Rasa and LLM-based assistants. For the chatbot side, I would make sure low-confidence cases trigger clean escalation paths, while conversation logs are captured in a usable feedback loop for retraining and refinement. For the automation side, I would design the system so scheduled jobs, model serving, authentication, and monitoring remain secure, documented, and easy to maintain in your private cloud environment. This would give you a practical ML automation and chatbot setup that is measurable, extensible, and aligned with your acceptance criteria and handoff requirements. Thanks, Hercules

@Rekhathakur

Hello I have thoroughly reviewed your project description and am confident in my ability to assist you in completing it successfully. I believe it would be highly beneficial to delve deeper into the specifics of the job to determine the most effective way forward. I am open to scheduling an interview at your convenience, and I genuinely appreciate the chance to collaborate with you on this project. Your response is eagerly anticipated, and I'm excited about the prospect of working together. Thank you for considering my proposal. Looking forward to your prompt reply! Best regards Rekha!!!

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@corpmember29

"I READ YOUR REQUIREMENTS CAREFULLY AND UNDERSTOOD THE NEED TO BUILD BOTH AI-DRIVEN AUTOMATION PIPELINES AND A CONTEXT-AWARE CHATBOT INTEGRATED WITH YOUR EXISTING SYSTEMS. I HAVE 10+ YEARS OF EXPERIENCE IN BUILDING DATA PIPELINES, ML MODELS, AND AI-POWERED CHATBOTS. I CAN DESIGN PYTHON-BASED WORKFLOWS THAT INGEST DATA FROM CRM/ANALYTICS SOURCES, PROCESS IT, AND DEPLOY PREDICTIVE MODELS (CHURN, LEAD SCORING) USING SCIKIT-LEARN/TENSORFLOW WITH REAL-TIME API ACCESS. FOR THE CHATBOT, I CAN BUILD A CUSTOM SOLUTION USING RASA OR LLM-BASED STACK, TRAINED ON YOUR KNOWLEDGE BASE, WITH CONTEXT SWITCHING BETWEEN SUPPORT AND SALES, AND SEAMLESS ZENDESK INTEGRATION FOR ESCALATIONS. I WILL ALSO IMPLEMENT FEEDBACK LOOPS FOR CONTINUOUS MODEL IMPROVEMENT. THE SYSTEM WILL BE FULLY DOCKERIZED, WELL-DOCUMENTED, AND DEPLOYED WITH CLEAN ARCHITECTURE, INCLUDING MONITORING AND RETRAINING CAPABILITIES. WE WILL DELIVER IN MILESTONES WITH TESTABLE OUTPUTS, ENSURING MODEL ACCURACY AND CHATBOT PERFORMANCE MEET YOUR ACCEPTANCE CRITERIA. I WILL PROVIDE 2 YEARS OF FREE ONGOING SUPPORT ALONG WITH COMPLETE SOURCE CODE. WE WILL WORK WITH AGILE METHODOLOGY AND I WILL ASSIST FROM DESIGN TO DEPLOYMENT AND OPTIMIZATION. I EAGERLY AWAIT YOUR POSITIVE RESPONSE. THANKS."

@koolvishruth

With nearly a decade of coding expertise, I am confident that your AI Automation & Chatbot Build project represents a perfect niche for my skillset. Not only do I have deep experience with Python and ML architectures such as TensorFlow and Scikit-learn, but my proficiencies extend to the LLM stack as well: Openclaw, Nocode, and others you mentioned. Let’s connect

@iglobalvn

I can build both the automation layer and the brand-aligned chatbot as one cohesive system—designed for real business use, not just a demo. For your project, I’ll map the current CRM/analytics flows, then deliver Python-based pipelines, model scoring APIs, and a chatbot that can support, qualify, and escalate seamlessly. Why I’m a strong fit: I work end-to-end across data integration, ML, and API deployment; I’m comfortable with TensorFlow/scikit-learn, Rasa/Dialogflow/LLM stacks, and production-ready Docker/Kubernetes delivery. I also build systems with clean handoff, monitoring, and retraining in mind. Relevant strengths: - Predictive ML workflows for churn, lead scoring, and validation-driven tuning - Chatbot design with Zendesk integration, confidence-based escalation, and knowledge-base grounding - Secure cloud authentication, documented code, and deployment scripts your team can maintain My approach: first I’ll assess your data landscape and confirm the best stack, then I’ll deliver in milestones—architecture + tech notes, automation pipelines + API, chatbot + integrations, and finally deployment, walkthrough video, and handoff guide. I’ll keep everything private, documented, and aligned to your acceptance criteria. If you’d like, I can review the current systems and propose the fastest milestone plan to get this live.

@quan9824

Hi, This project is a strong fit for my experience building end-to-end AI systems combining data pipelines, predictive models, and conversational agents. I would approach it in two structured tracks: 1. Smart Automation I will map your current data flows and build Python-based pipelines to ingest data from your CRM and analytics sources. Using scikit-learn or TensorFlow, I will develop models for use cases like churn prediction and lead scoring, with proper validation to meet your ≥90% accuracy target. The outputs will be exposed via a lightweight API (FastAPI) so your team can access predictions in real time. 2. Custom Chatbot I will build a conversational agent using a modern LLM + RAG approach (or Rasa/Dialogflow if preferred), integrated with your knowledge base and Zendesk. The bot will handle support and sales queries, with confidence-based human handoff. I will also implement a feedback loop so conversations improve the system over time. Deliverables include: Clear architecture and tech decisions Clean, documented code in your repo Docker-ready deployment setup Demo + walkthrough Handoff guide for retraining and monitoring I focus on practical, production-ready systems, not just models. I can start with a quick data review and propose milestones immediately. Best regards, Doan

@juanjosec63

Hi, I have strong experience in Python, machine learning (with TensorFlow and scikit-learn), chatbot development (Rasa, Dialogflow), and automation, with a focus on delivering scalable and high-impact solutions. For the **smart automation** track, I will map your current data flows, design Python-based pipelines, and deploy machine learning models to surface predictive insights like churn risk and high-value lead scoring. These will be served through a lightweight API for real-time consumption by your business team. For the **custom chatbot** track, I will build a conversational agent capable of handling both customer support and sales queries, integrated with your existing knowledge bases and Zendesk for smooth escalation. I’ll implement continuous learning loops so that the bot can improve over time based on conversation logs. You can expect clear communication, accurate results (≥90% prediction accuracy), and a high-quality final product that fits seamlessly into your existing workflow. Best regards, Juan

@johnallenvillan1

Hi, your plan to pair ML-driven automations with a dual‑mode chatbot shows you’re aiming for real operational leverage, and the need for accuracy and seamless integrations came through clearly. I’ve delivered similar two‑track builds before, most recently unifying CRM ingestion pipelines with TensorFlow churn models that achieved a validated 92% accuracy, and a Rasa-based support bot that cut ticket volume by 38%. The real complexity here is aligning the automation models and the chatbot’s context engine so they share consistent embeddings and avoid drift when retraining cycles kick in. Most teams overlook how data schema changes upstream can silently break downstream intent routing. I’ll map your current data flows, stand up Python pipelines, and train ML models with clear validation gates. For the chatbot, I’ll structure a hybrid Rasa/LLM workflow, integrate with Zendesk, and wrap everything in Docker-ready deployments with clean Git commits. Before starting, I’ll need clarity on your CRM’s API rate limits and the format of your validation set. I can deliver the initial architecture and pipelines within the first week. Thanks, John allen.

@webmasters486

As your all-in-one solution for AI automation and chatbot needs, I bring a unique blend of skills that perfectly align with your project requirements. With my strong proficiency in automation and deep understanding of machine learning frameworks like TensorFlow and scikit-learn, I can efficiently map your existing data flows to design and deploy Python-based pipelines, automating your CRM and analytics dashboards effectively. The accurate models produced will provide timely predictive insights, enabling you to make smarter business decisions based on churn risk and high-value lead scoring. Additionally, my experience with creating conversational agents using Rasa and Dialogflow will ensure a tailor-made chatbot solution for your brand, capable of seamlessly integrating with Zendesk and knowledge bases while dynamically switching contexts between customer support queries and basic support. To ensure an efficient handoff process, I'll maintain highly cohesive and clean code in a private Git repository. In addition to delivering a detailed architecture diagram outlining how different components work together, I'll set up deployment scripts that are Docker/Kubernetes friendly for seamless integration into your system. I'm looking forward to discussing more details about this project and how we can create extraordinary experiences that drive your business growth forward!

@techsty2014

Interesting project, Honest note: two tracks at this depth (pipelines, training, Rasa/LLM bot, Zendesk, k8s) sits above $250. This fits as milestone-one either the lead-scoring pipeline or a RAG chatbot not both. Stack: Python + FastAPI + scikit-learn for scoring, LangChain + OpenAI + pgvector for the bot, Zendesk webhook for handoff, Docker Compose (k8s later). Questions: 1) Which track first, and which CRM to wire in? 2) Is the knowledge base structured (Notion, Zendesk, PDFs)? 3) Cloud target? Looking forward to talking through the details. Faizan

@abdulhamidh2

Hello! I recently completed a project building ML-driven automation pipelines alongside a custom chatbot integrated with CRM and support systems. This experience directly applies here, as I’ve handled end-to-end data pipelines, predictive modeling, and conversational AI with real-time API delivery. I would design Python-based pipelines to ingest and process CRM/analytics data, train models for lead scoring and churn prediction, and expose results via a scalable API. In parallel, I’ll develop a context-aware chatbot integrated with your knowledge base and Zendesk, including escalation logic and continuous learning from conversation logs. My key strengths include machine learning, data pipelines, API architecture, and chatbot development, and I’m confident I can deliver this efficiently and meet your performance criteria. I am ready to start immediately and would like to discuss the details with you. Thank you for reviewing the proposal. Abudulhamid

@asimaarbi

I recently built an AI Quran chatbot and have experience working with LLM-based assistants and Python automation systems. I can design and implement your ML automation pipelines (scikit-learn/TensorFlow) for CRM-driven predictions and build a context-aware chatbot integrated with your knowledge base and Zendesk. I’ll also provide Docker-ready deployments, clean documented code, architecture notes, and a clear handover so your team can maintain and retrain the system easily.

@Srashtasoft

Hi there, I have read your project requirement. You need a dual-track solution: ML-powered automation pipelines for predictive insights (churn, lead scoring) and a custom chatbot integrated with your systems (Zendesk, knowledge base) that can handle support and sales with continuous learning. We can design a scalable architecture using Python (scikit-learn/TensorFlow) for data pipelines and model training, exposed via REST APIs for real-time predictions. For the chatbot, we can use Rasa or an LLM-based stack with context handling, Zendesk integration, and human handoff logic. The system will be containerized (Docker) and deployment-ready, with secure credential handling, monitoring, and retraining workflows. We will also provide full documentation, architecture diagrams, and a demo walkthrough. Questions: ======== What data sources are involved (CRM, analytics tools, formats)? Do you prefer Rasa (more control) or LLM-based chatbot (more flexible)? What cloud environment are you using (AWS, GCP, Azure)? Do you already have labeled data for training churn/lead models? Best Regards, Srashtasoft Team