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merve-adal/README.md

Hi 👋, I'm Merve

Computer Engineer | Passionate about Technology & Software Development

  • Currently exploring various software domains by building hands-on projects.
  • Passionate about continuous learning, adapting to new technologies, and writing clean code.
  • How to reach me: merve.adali16@gmail.com

Connect with me:

LinkedIn Instagram

Tech Stack:

python pytorch huggingface supabase flutter csharp cplusplus git Avionics

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  1. animal-shelter-app animal-shelter-app Public

    Forked from UmranMngr/animal-shelter-app

    Animal Shelter Management App built with Flutter and Supabase, featuring animal adoption, donation tracking, health records, and shelter administration.

    Dart

  2. image-captioning-encoder-decoder-coco image-captioning-encoder-decoder-coco Public

    A deep learning image captioning system built on MS-COCO using VGG16 encoders and RNN decoders. Implements Teacher Forcing and comparative Global Attention mechanisms (Bahdanau, Luong, Scaled Dot-P…

    Jupyter Notebook

  3. turkish-smarthome-llm-json-converter turkish-smarthome-llm-json-converter Public

    A comparative evaluation of fine-tuned small language models (LLaMa 3.2, Gemma 4) and a large language model (Qwen2.5-72B) for converting Turkish smart-home commands into Home Assistant JSON servic…

    Python

  4. disaster-rescue-multi-agent-system disaster-rescue-multi-agent-system Public

    A comparative Multi-Agent System for disaster rescue coordination. It solves spatial task allocation and priority routing using two AI paradigms: an LLM-based architecture with Gemini API and a Sym…

    Jupyter Notebook

  5. asr-smart-home-commands asr-smart-home-commands Public

    A machine learning project that uses multi-window ASR outputs and confidence-aware text embeddings to predict Turkish and English smart home commands.

    Python

  6. turkish-smart-home-nlp turkish-smart-home-nlp Public

    A Turkish smart home command recognition system. It uses Word2Vec-based word embeddings and cosine similarity to understand user intent across different linguistic expressions.

    Python