We are looking for an AI developer for an agricultural consulting service.

Budget: 27000 UAH Deadline: 28 days

Hello, Rostislav! 🌟

My name is Semyon, I am a developer with experience in creating artificial intelligence systems, including models for processing queries and integration via API. I am ready to develop your innovative AI system for online consultations in the agricultural sector! 🚀

📋 Implementation Plan:

Development of the AI model:
I will create a model based on Python using the transformers (Hugging Face) and PyTorch libraries.
I will configure the model for the question-answer format: for example, a client asks "How to combat late blight?", the AI responds based on the knowledge base.
I will use a pre-trained model (for example, BERT or RoBERTa), adapted to the agricultural theme.
Training on the knowledge base and continuous learning:
I will train the model on your knowledge base (provided by you): texts, articles, FAQs on the agricultural sector.
I will implement a fine-tuning mechanism: I will add the ability to upload new data (for example, via CSV) and update the model (fine-tuning).
I will set up feedback collection: users evaluate responses, and the model is fine-tuned based on the ratings.
Creating the API:
I will develop a REST API on FastAPI:
Endpoint for queries: POST /ask with the question parameter (for example, "How to fertilize wheat?").
Response: JSON with the consultation text and confidence (for example, { "answer": "Use nitrogen fertilizers...", "confidence": 0.92 }).
I will provide API documentation (Swagger).
Performance and accuracy optimization:
I will optimize the model: I will use quantization (for speedup), caching of frequent queries.
For accuracy: I will add filtering of incorrect data, and conduct validation on a test set (for example, 80% accuracy on your data).
I will host the system on a server (for example, AWS) with support for scaling.

💡 My experience:
I developed a chatbot for an agricultural company: trained the model on a database of fertilizers and plant diseases (5000+ records).
I created an API for an AI bot in the logistics sector: integration with a mobile application, 1000+ queries per day.
I worked with the ChatGPT API: integrated it into a customer support system for automating responses.

💰 Cost and timelines:
Development of the AI model: $800.
Training and fine-tuning: $300.
API and optimization: $400.
Total: $1500.
Timeline: 3–4 weeks.
Support: $100/month (optional).

❓ Next steps:
Provide the knowledge base for training.
Specify the platforms for API integration.
I will start after agreement!
Best regards, Semyon 😊 Expand

Budget: 12500 UAH Deadline: 1 day

Good afternoon. You probably don't quite understand what you need to do from a technical point of view. This is a conclusion based on the description of the technical specifications.
Do you need to develop YOUR model or do you want to work with a trained model? Or do you want to work with a large model via API?
I haven't created my own models and don't see much point in it, but I can help with training and RAG.
Message me privately, after understanding the details I can propose a real work plan.

Budget: 27000 UAH Deadline: 30 days

Good day. Ready to execute.
I have extensive experience in developing AI models.
My portfolio: Freelancehunt

I will develop an AI model for processing user requests in the agricultural sector. I will implement a continuous learning mechanism for the model. I will create an API. I will implement the necessary functionality.
I will optimize. I will test and provide documentation.

Write to me, we will discuss and I will start working.

Budget: 15000 UAH Deadline: 10 days

Good day.
I am ready to take on your project.
I can develop an AI agent for you that will be able to provide consultations to clients and will be integrated with other necessary services via API. I use no-code/low-code tools.
Message me privately, and we will discuss all possible nuances and find the best solution for you.

Budget: 12500 UAH Deadline: 1 day

Your task looks extremely interesting and promising, as creating AI for the agricultural sector opens up wide opportunities for automating consultations and increasing the efficiency of the industry. I have experience in developing machine learning models, creating APIs, and working with big data, which aligns with your requirements. I am particularly interested in working on the mechanism of continuous learning for the model to ensure its relevance and accuracy. I would be happy to join the project and discuss the details!

Questions for the client
Can you provide detailed information about the scope and format of the knowledge base in the agricultural sector (for example, text documents, databases, volume of data)?
What platforms are planned to be integrated with the API, and are there specific requirements for its architecture (for example, REST, GraphQL)?
Do you have preferences regarding frameworks or libraries for developing the AI model (for example, TensorFlow, PyTorch)?
What accuracy criteria for responses do you consider key, and are there target metrics (for example, F1-score, BLEU)?
Is there a plan to test the model on real users, and if so, at what stage?
I would appreciate your answers to better assess the scope of work and propose an optimal approach!

Budget: 12500 UAH Deadline: 17 days

Hello! I have experience in creating LLM solutions for niche areas — in particular, I implemented a similar project with GPT integration via API and configured the training system on an internal knowledge base. I handled full processing of queries in a question-answer format, set up automatic retraining, and developed APIs for connecting to various platforms. I guarantee quality results, a quick start, and competent support. We can discuss the details.