Generative Image AI
Image Style Generator
Applies the selected art movement to uploaded images using lightweight LoRA adapters trained for Cubism, Post-Impressionism, and Ukiyo-e.
PythonPyTorchDiffusersLoRAFastAPI
AI and Data Portfolio
MOHAMMED DARRIGE
Second-year Artificial Intelligence and Data Engineering student at Fırat University. Strongest base is machine learning and deep learning; current work focuses on NLP, image processing, RAG-based flows, and small open-source contributions.
Location
Fırat University, Turkey
Tech Stack
Python, Scikit-learn, PyTorch, TensorFlow, FastAPI, NLP, Image Processing
Currently Learning
RAG, NLP, image processing, and practical AI products
Profile
About
Strong foundation in machine learning and deep learning. Current work focuses on NLP, image processing, and small AI products that move beyond notebooks into working demos.
ML/DL Foundation
My core strength is machine learning and deep learning fundamentals: understanding model behavior, setting up experiments, and evaluating results honestly.
Current Areas
Current focus is NLP, image processing, RAG-based workflows, and small backend integrations that make AI experiments usable.
Build Rhythm
The usual workflow is simple: test the idea in a notebook, turn it into a small demo, then improve the code until it is easier to read and use. Open-source contributions happen when they fit the same direction.
Work
Selected Projects
Accuracy0.000
Loss0.000
LLM-Powered Game Demo
AI Animal Guessing Game
An interactive demo that tries to guess the animal you are thinking of. It asks yes/no questions, narrows the candidates, and makes a guess when it has enough evidence.
Next.jsLLMTypeScriptPydantic
Natural Language Processing & RAG Systems
Turkish NLU + RAG Pipeline
An in-progress system for Turkish customer messages with two-stage category/intent classification and routed RAG-based answer generation.
Turkish NLPIntent ClassificationRAGChromaDB
In Progress