Budget: 1500 EUR Deadline: 7 days
Hello, I have already completed similar projects with API deployment for translations on an already trained model. We can also discuss the pre-training and tuning stage; I need to see the corpora. For any additional questions, please send a private message. I look forward to collaborating.
Budget: 1500 EUR Deadline: 14 days
Hi,
I can build a secure, fine-tuned AI translation API tailored to your domain — including support for 18+ content.
What I’ll Deliver:
Fine-tuned transformer model (e.g., MarianMT or NLLB)
REST API using FastAPI, with:
Text + target language input
API key or user_id auth
Deployment on your server (GPU-ready if needed)
Translation quality optimized for your style/vocabulary
This will be a production-ready system with full documentation.
Let me know your preferred base model or I can recommend the best one.
Best,
Georgios Toutoudakis
Budget: 1500 EUR Deadline: 14 days
Hello, Anton!
My name is Semen, I represent the company Wanord. We specialize in NLP/AI projects and deploying custom models with REST API for business.
📌 I propose a solution for your request:
✅ Full cycle implementation of an AI machine translation service with the possibility of fine-tuning:
— Setting up and launching a translation model on your server (optimized for GPU/CPU)
— Fine-tuning on your corpus of thematic (including adult) texts to preserve style and vocabulary
— Wrapping into REST API (FastAPI / Flask) with authorization (user_id / api_key)
— Deployment, testing, and preparation for production
✅ How it will work:
— Request with parameters: text, translation language
— Verification of api_key / user_id for access
— Calling the fine-tuned model
— Returning the translation in JSON format
✅ Technical features:
— Use of models like MarianMT, NLLB, M2M100, or OpenNMT with the ability to fine-tune on specific data
— Saving fine-tuning checkpoints for further training
— REST API with documentation (Swagger / Redoc)
— Logging requests for analytics
— Server resource optimization (batching, quantization, if needed)
✅ I work easily with thematic corpora 18+ — experience with sensitive vocabulary and styles.
✅ Estimated cost: from $1500 (depending on data volume and API complexity).
⏳ Estimated timeline: 7–14 days.
✅ Experience:
— Deploying machine translators based on Hugging Face Transformers
— Fine-tuning models for legal, technical, and adult content
— REST API on FastAPI with token / api_key authorization
— Inference optimization for servers (GPU / CPU)
✅ What you will receive:
— Ready REST API service for translation with authorization
— Trained / fine-tuned model in your translation style
— Integration documentation
— Recommendations for scaling / further development
We can start as early as this week. Write privately — we will discuss the corpus data, server capabilities, and clarify technical details for the implementation plan.
Looking forward to cooperation!
Best regards, Semen
Budget: 1500 EUR Deadline: 10 days
Good day.
Our team has many years of experience in developing ERP, CRM, CMS, and specialized business software. We create effective digital solutions that help automate processes, increase productivity, and scale companies.
We work with modern technologies — from bots and scripts to AI agents and analytical systems. Our portfolio includes implemented ERP solutions for the hotel business, as well as our own product XFitness — an ERP system created specifically for fitness clubs.
We are ready to implement your project and offer the best solution tailored to your needs.
We specialize in the following areas:
-ERP System Development
-CRM System Development
-Websites of any complexity
-CMS System Development
-Websites Support
-OpenCart Development
-OpenCart Support
-OpenCart Modification
-OpenCart Customization
-WordPress Development
-WordPress Support
-WordPress Modification
-WordPress Customization
-ECommerce Development
-ECommerce Support
-ECommerce Modification
-ECommerce Customization
-Web Application Development
-1C Server Support
-Web Server Support
-Mobile Application Development
and on these technologies:
- Python
-PHP
-Laravel
-Symfony
-Yii2
-JS
-NodeJS
-jQuery
-TypeScript
-MySQL
-HTML
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-C++
Budget: 1500 EUR Deadline: 20 days
Good afternoon
I have been developing in Python for over 4 years, with experience working with transformers, deploying APIs using FastAPI, as well as databases and deployment.
We will fine-tune the model on thematic data, wrap it in FastAPI, and deploy it on a server.
I would like to know your preferences regarding the model to be trained, uncensored, number of parameters, etc.
Ready to discuss project details
Have a good evening!
Budget: 2000 EUR Deadline: 20 days
Hello, I understand that you are looking for an experienced developer to create a custom AI-based translation service with fine-tuning capabilities and REST API.
My approach involves using a high-quality open-source model such as M2M100 or NLLB, and fine-tuning it using the corpus you provide to capture the intended tone, vocabulary, and stylistic nuances of the target texts.
The API will be developed using FastAPI with endpoints for translation, secure access via API keys, and flexible input for language and content type.
I will also handle the full deployment process, including hosting the model, setting up the server, and integrating authorization mechanisms.
I have extensive experience working with ML models in production, and I can guarantee that the quality and reliability of the translation will be comparable to platforms like DeepL.
15 euros per hour.
Could you clarify whether the fine-tuning corpus has already been preprocessed, or should I also handle that part?
Looking forward to working with you.
Best regards,
Daniel
Budget: 1500 EUR Deadline: 10 days
Hello Anton!
My name is Danil, I am involved in creating similar systems based on the Python programming language and the use of LLM models.
We can implement a similar service.
Below, I describe how I see what needs to be done:
- Deploy your own ML translation model on a dedicated server (GPU/VPS).
- Conduct fine-tuning considering the specifics of 18+ style.
- Wrap the model in a REST API with authorization, logging, and settings.
Models for translation: BLOOM, GPT-4, Mistral + RAG scheme for a custom approach.
To be as close as possible to DeepL, you can use a pretrained transformer and fine-tune it on your data.
The final accuracy and quality of translation will depend on the volume and purity of your translation corpus, the specific language pair (e.g., English → Ukrainian, English → Romanian, etc.), and the depth of fine-tuning (full training or PEFT).
I suggest discussing the detailed technical specifications in private.
Write to me if my proposal interests you.
