Transfer automation from make to local n8n

I'm looking for a specialist to create an MVP system for automating the search for sports and active events, AI processing of information, content approval, and automatic publication. The main source of events for the MVP is Finishers. General logic: Finishers → obtaining data about new events → AI processing and adaptation in Ukrainian → preview and approval by the administrator via Telegram bot → queue → automatic publication in Telegram and Facebook. It is important that in the final publication, the user is directed to the official website of the event/organizer or the official registration page, not to Finishers. Separately, I expect the contractor to propose a solution regarding photos for publications, taking into account automation and rights to use images. Also, before implementation, it is necessary to assess an acceptable and stable method for automated data retrieval from Finishers and possible alternatives in case of access restrictions. Possible stack: n8n, Make.com, OpenAI/Claude, Telegram Bot API, Meta API, Google Sheets/Airtable, or a simple database. I am open to considering other proposals. The architecture should allow for the future addition or replacement of event sources without rebuilding the entire system. MVP budget: approximately $400–600. Deadline: preferably 7–14 days. A detailed technical task with a description of functionality and questions for the contractor is attached as a separate file. In your response, please briefly indicate: — proposed stack; — experience with similar automations; — approach to data retrieval from Finishers; — proposed solution regarding photos; — estimated timeline; — final cost of the MVP. I would be happy to receive not just a cost estimate, but also your suggestions on how to make the system simpler, more reliable, or cheaper to maintain.

We are looking for a specialist or a team to implement AI solutions in the communication of the CT and MRI medical center. Requirements: integrate AI into telephony for handling incoming and cold calls; ensure natural Ukrainian-speaking communication with minimal pauses; integrate an AI assistant into the Binotel chat or propose an effective alternative; automate responses to inquiries, initial consultations, and scheduling for examinations. Important: the medical field requires accurate information gathering before CT or MRI, particularly regarding the examination area, preparation, referrals, and possible contraindications. The solution must be empathetic, professional, and allow for the transfer of complex cases to an operator. In your response, please send relevant cases, a description of the proposed solution, and estimated timelines. Experience in medical projects will be an advantage.

It is necessary to develop an application in MATLAB that can process images/videos, identify individual objects, analyze their characteristics, and, if necessary, use machine learning methods to automate the analysis. Desirable: confident knowledge of MATLAB; experience in Computer Vision / Image Processing; experience with Machine Learning;

Developer for creating AI bots - multi-agent system and automations in AI application. What is needed: proficiency in n8n; experience integrating OpenAI and other AI models via API; working with webhooks, REST API, and Supabase; ability to create reliable AI workflows and automations. Create multi-agent systems from scratch or with a framework AI Agents, MCP, RAG

Counting of finished products and peopleNon-conforming products. Based on a high-performance line, ensure accurate counting of throughput, workforce participation, identification of non-conformities, and context of stops/reconfigurations, providing ready analytical information.