Budget: 1500 UAH Deadline: 3 days
Доброго дня!)
Робив вже схожі проекти. Буду радий взятися за ваше завдання. Акаунт новий тому ціну ставлю невелику.
Требуется сделать практическую часть дипломного проекта.
требуется сделать классификацию ( 2 или несколько классов) на снимках дистанционного зонидирования земли ( например, landsat 8) .
неважно какие классы(типы растительности. водоемы. поселения и т.д. все по покрову земли). и
спользовать Pyton и его нейросети.
Или использовать нейросети интегрированные в ГИС(например в GRASS QGIS).
Или использовать нейросетевые модули в R совместно с ГИС..
Возможно не классификация, а временной анализ
Или предлагайте ваши варианты
Budget: 1500 UAH Deadline: 3 days
Доброго дня!)
Робив вже схожі проекти. Буду радий взятися за ваше завдання. Акаунт новий тому ціну ставлю невелику.
Budget: 2500 UAH Deadline: 1 day
Пишите в личку обсудим стоимость и сроки выполнения. Хочу взяться за выполнения задания
Budget: 2000 UAH Deadline: 3 days
Добрый день. Если единственное условие, это данные (satellite images), а всё остальное можно выбрать, тогда я готов взяться за реализацию проекта. Обращайтесь.
Наталья, здравствуйте! Посмотреть бы примеры, что Вы хотите сделать. Хоть от руки нарисованные с пояснениями.
Добрый день, есть снимки какие на каких нужно будет обучать сеть, а потом классифицировать?
есть 2 архива снимков landsat8, разница в снимках примерно год. в архиве файлы слоев tif и файл метаданных.
Доброе утро. Есть несколько вопросов:
1) размер/источник обучающей выборки?
2) что должно получится на выходе?
3) предполагаемый бюджет?
4) сроки?
С уважением, Сергей
Hello everyone! Who knows how to work and has been working with Open Claw agents for coding and other tasks? I need to organize parallel work of open claw code agents for coding on a virtual server. Requirements: - help choose a server for the agents (there are many ready-made options) - help set up the environment - connect the API Who can do this today? Who is available? I found these options online: https://clawhost.cloud/
About the ProjectA manufacturing company with several warehouses in Ukraine. More than 40 suppliers, both domestic and from China. Each supplier has its own terms for order processing and logistics.What We Want to ImplementAn AI agent for automating purchases and managing the movement of goods between warehouses. The agent is planned to be trained to work with each supplier according to their individual conditions.Current InfrastructureA procurement report is operational on QlikView (BI analytics via browser). Data updates every 30 minutes, the report is generated in the browser on the fly. Excel files can be exported from it.How We See the ImplementationDecide on a platform (OpenClaw, Claude Cowork, or similar) for building the agentDeployment on a VPS serverConnection to the analytics report via browserTraining using 2–3 suppliers as a pilotAgent FunctionalityGenerating orders to suppliers (training for each supplier separately)Moving goods between internal warehouses to maintain stockCreating tasks for specific groups of goods (for example, cutting into pieces and filling missing positions by lengths)Required IntegrationsTelegram: management through chat by several employeesCreating tasks in our CRM via APISending tasks to specific employees in the Telegram chatFuture PlansAfter the implementation of this stage, the creation of a sales analysis agent is planned, also based on the QlikView report.
Hello! Task: Develop and place an agent on a WordPress page (the programmer will insert the code into WordPress). The user should be able to communicate with the AI agent in text or voice format (if possible) based on a specific uploaded topic (content: texts, photos). Functionality: The user visits the website page. Sees the AI agent interface: chat + voice communication button (if possible). Can request text. Can speak, and the agent should recognize the speech and respond. The agent responds only based on the uploaded materials on the specific topic. If the question goes beyond the topic, the agent should correctly inform that it can only respond based on materials related to Skovoroda. Responses should be lively, understandable, and educational. The administrator should be able to upload and update materials: texts, PDFs, images, audio, links. Interested in the cost and timeline for developing the agent.
Contact only those who can do this. And immediately provide deadlines and budget. Creating a personal Wiki database based on Obsidian Note. Registration on hosting, launching a local artificial intelligence OpenCl and connecting it to the created Wiki database. Explanation in a YouTube video. https://youtu.be/9DLyBdND22c?si=AqDvuTnteIBWAiyu
We are looking for a specialist to create one realistic AI model / AI character and prepare a content package for social media. The task is to develop a visually high-quality and consistent image that can be used in photos and short video formats. What needs to be done: create one AI model with a recognizable appearance and a unified style; prepare a small package of photos and short videos; adapt materials for publication on social media; ensure realism and stability of the image in different scenes. In your application, please indicate: whether you have experience in creating AI models / AI characters; whether you can show examples of similar work; estimated cost and completion time; A detailed technical task will be discussed with suitable candidates in private messages.