You will get a working OpenAI or Claude API integration in your app
Project details
I connect OpenAI or Claude APIs into your web or mobile app, quickly and securely. I've built production AI features including a multimodal elderly-care assistant (Flutter and FastAPI) and a Turkish legal RAG pipeline with hybrid retrieval. You get a working integration with clean error handling and sensible defaults, not just a demo that breaks in production.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI Mobile App Development, Conversational AIAI Development Language
PythonAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$40
|
Standard
$90
|
Advanced
$180
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
About Arda
Embedded Systems & IoT Developer | Edge AI, FPGA & Flutter
Ankara, Turkey - 11:04 pm local time
My hands-on experience includes ESP32 and MSP430 development, FreeRTOS and bare-metal C, FPGA design with Vivado, UART/SPI/I2C communication, TCP/IP networking, BLE, and REST APIs. I have delivered production-focused university systems including an ESP32 + SIM7600 fleet tracking and access solution and an RFID-based access control system.
I also work across AI and application development: computer vision with YOLOv5, TensorFlow/PyTorch, RAG and LLM fine-tuning, Flutter, FastAPI, MongoDB, Firebase, and Python. Recent projects include a multimodal elderly-care assistant, a Turkish legal RAG pipeline, and a microcontroller-ready keyword spotting system.
If you need an engineer who can connect hardware, firmware, AI, and user-facing software into a practical product, I would be glad to help.
Steps for completing your project
After purchasing the project, send requirements so Arda can start the project.
Delivery time starts when Arda receives requirements from you.
Arda works on your project following the steps below.
Revisions may occur after the delivery date.
Review requirements and access
I review your codebase, API keys, and desired AI provider setup.
Build, test, and deliver the integration
I implement the API calls, test edge cases and error handling, then hand off working code with a short usage note.