Medet Nurgaliyev
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Budget: 150 USD Deadline: 7 days
Good afternoon. I am ready to help with the task...........................................
Budget: 150 USD Deadline: 1 day
Hello, Radmir
I can advise you on how all of this should work specifically in your case.
Feel free to reach out, I might be helpful..
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Current freelance projects in the category AI & Machine Learning
We are looking for a Middle Python or JavaScript developer for a long-term part-time project involving the evaluation, validation, and technical audit of artificial intelligence responses (LLM models). The work does not involve writing code from scratch but rather analytical verification of already generated scripts and algorithms. What needs to be done: 1. Analyze technical tasks and compare two code options created by different AI models. 2. Conduct mental debugging, find logical errors, syntax bugs, or inefficient use of memory/resources. 3. Evaluate which code option is more optimal and write a clear, detailed analytical report in English. The report should explain where the error is and how to fix it. Candidate requirements: Commercial experience in Python (Django / FastAPI) or JavaScript / TypeScript development for at least 2 years. English language level — B2/C1 (Advanced). Writing technical reports is a key part of the job. High self-discipline and attention to detail. Strict requirement: 100% manual report writing (any use of ChatGPT or other AI assistants during work is completely prohibited, the system undergoes a linguistic anti-fraud audit). Working conditions and format: Fully flexible schedule (Flexible On-Demand). Tasks appear in a stream. You can work at a time convenient for you (morning, afternoon, or evening). Work volume: on average from 3 to 4 hours per day on one work module (can be combined with main work). Depending on your productivity, there is a possibility of expansion and handling multiple modules in parallel, which directly scales income. All tasks are performed exclusively within our configured, secure remote working environment. Payment: fixed hourly rate from 20 to 30 USD per hour (depending on your technical level). Payments are made weekly in a format convenient for you (USDT or currency). Please briefly describe your experience with Python/JS in your response and confirm your English language level. Ready to start as soon as possible.
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.