Django migration
Alexander, thank you very much!
Budget: 1000 UAH Deadline: 3 days
I can help, ready to get to work. Do you just need help with the database and correctly building them in Django?
Budget: 1000 UAH Deadline: 3 days
Good day, I was interested in your project.
I am a web developer with 3 years of experience.
Knowledge of Python, JS and PHP.
Frameworks: laravel, django, vue, Electron Library: react, jq, bootstrap.
CMS: WordPress, Tilda and OpenCart.
The portfolio is available in the profile. If you need more examples, let me know. I will provide in the reply message (including all the necessary files and access).
GITHUB - http://github.com/romych97/
I hope for your answer.
with respect
Budget: 1000 UAH Deadline: 10 days
Hello to you. Ready to get to work. There is experience in Python/Django. He made a similar online store for the sale of tyres and discs. You can write to me at LS. Discussed
Task: deploy an LLM service that knows all the company's documentation and answers questions from the sales department managers. Current situation: the client has independently assembled a prototype (a separate project with uploaded company information, hosted on a server), but the information from the database is not transmitted to the model — likely, there is an issue with the API. We will provide the code and access. The first step is an audit: fix the existing setup or justifiably rebuild from scratch. Required functionality: Upload all company documentation: description of each service, regulations, FAQ, pricing (all materials will be provided). Answers strictly based on the uploaded documents (RAG). The model does not invent facts; if the answer is not in the database — it honestly informs about it. Access for managers via a link (web interface), with authorization. Scenarios: the manager asks any question about the company's work; inserts the client's question "as is" and receives a ready answer for sending; finds the necessary regulation/report by request. Knowledge base updates without a developer (uploading files through the interface or a connected folder). English language. History of requests for quality control. Technical expectations: LLM via API (Claude/OpenAI — propose with a cost calculation for tokens), RAG pipeline (vector database, embeddings), hosting on our server or in the cloud, HTTPS. The architecture should allow for future connection of the assistant to the analytical data warehouse (parallel project). In the response, indicate: examples of similar RAG projects, stack, timeline, cost of work, and estimated monthly ownership cost (tokens + hosting).
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It is necessary to calculate statistics in a medical project (including correlations). Additionally, there is a request to create a mathematical model for predicting the development of pathologies based on available data.
Hello, I need your help in implementing a task. Fix the bugs on the website page, the page displays a 404 error.