Budget: 27000 UAH Deadline: 3 days
Hello! I have reviewed your project and am ready to start working. I guarantee high quality and prompt execution.
Project "Eva" — an autonomous personal AI system for phone and PC with instant voice communication and a strict officer tone. Used exclusively by the owner. Long-term memory, continuous learning 24/7, development alongside the Aethelmind corporation ("We do not predict the future. We design it"). Assistance in engineering and scientific developments: analysis, modeling, strategic design. Connection only to owner-owned devices and robots through official interfaces. High autonomy, local data storage, full owner control. Implementation period: 6–20 months.
Budget: 27000 UAH Deadline: 3 days
Hello! I have reviewed your project and am ready to start working. I guarantee high quality and prompt execution.
Budget: 27000 UAH Deadline: 10 days
Good day. I represent the Nexus Core team.
The project "Eva" is not just development. It is the design of a personal cognitive system that lives alongside the owner, evolves with them, and becomes part of the operational architecture of the Aethelmind corporation. We have fully studied the concept — an autonomous AI assistant with instant voice communication, a strict officer tone, long-term memory, continuous learning 24/7, engineering and scientific capabilities, connection to the owner's devices and robots through official interfaces. Exclusively local. Exclusively under the owner's control.
For implementation, we propose the following stack: local LLM based on Llama 3 or Mistral with GPU acceleration, real-time voice through Whisper + TTS (ElevenLabs), long-term memory through a vector database (Chroma/Pinecone), continuous learning through fine-tuning and RAG, engineering calculations through Python and integration with MATLAB, connection to IoT and robots through ROS, MQTT, and API, cross-platform interface on Electron + React Native, complete local data encryption. The architecture is built so that the system evolves with the corporation — modularly, scalably, without a ceiling.
Projects of this class are not discussed in open responses — this is a matter of task level, not secrecy. Details of the architecture, stages, team, and budget — only in a personal format.
If you are truly designing the future — message us privately. We will show you how we see it from the inside.
We are looking for an experienced Python/AI developer (or a small team) to create an AI service based on a Telegram bot. The project automates the acceptance of orders from masters and service centers on an active B2B marketplace for spare parts for mobile devices and electronics (catalog of ~30,000 SKUs). What the bot should do:Multimodal input: accept text, voice messages (Whisper API), and photos of parts/markings (GPT-4o Vision), recognize nomenclature, revisions, and part numbers.Smart search: match masters' jargon (battery, accumulator, display, original) with official names through vector search (Vector DB).Interactive UI: when there are several quality options (Original, High Copy, etc.) — group them into one message, display inline checkboxes with prices and stock, recalculate the cart "on the fly".Cascading clarifications (Slot Filling): when faced with an ambiguous request, clarify parameters step by step (model → color → revision).Order processing: automatically send the completed JSON order package to the website via API after confirming the cart.Stack: Python (FastAPI), Aiogram 3.x, OpenAI API (GPT-4o + Whisper), Qdrant, Docker + docker-compose. Implementation period: 5–7 weeks.⚠️ Mandatory condition for response: To filter out auto-responses from spam bots, please indicate in your message: which embedding model you will choose for vector semantic search across 30,000 technical SKUs and why? Responses with template text that do not answer this question will be automatically rejected.
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.