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SheidaAbedpour/README.md

Hi ;) My name is Sheida Abedpour

Computer Engineering Student

I am a dedicated student at the University of Isfahan, currently majoring in Computer Engineering. My primary focus and passion lie in the field of Artificial Intelligence. I find immense joy in solving complex technical problems and exploring the forefront of technological advancements. I am excited to continue my journey in Artificial Intelligence, pushing boundaries and making significant contributions to the field.

  • 🌍  I'm based in Iran, Isfahan
  • ✉️  You can contact me at [email protected]
  • 🧠  I'm learning Machine Learning

Skills

C C++ Git Java Kotlin Python MySQL

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  1. Smart-Home-Assistant Smart-Home-Assistant Public

    AI-powered multilingual smart home assistant with voice control using LLaMA 3.3 70B and OpenAI Whisper

    TypeScript

  2. SVD-movie-recommender-system SVD-movie-recommender-system Public

    This repository implements a movie recommendation system using Singular Value Decomposition (SVD)

    Jupyter Notebook 7

  3. RAG-Pipeline-French-Demographics-QA-System RAG-Pipeline-French-Demographics-QA-System Public

    A complete end-to-end RAG system that scrapes Britannica's France geography content, creates vector embeddings, and provides intelligent Q&A capabilities through a FastAPI backend and beautiful Str…

    Jupyter Notebook

  4. Regression-Credit-Limit-Prediction Regression-Credit-Limit-Prediction Public

    Perform regression analysis to predict credit limits using machine learning methods, employing techniques such as feature encoding, scaling, selection, and multicollinearity handling to preprocess …

    Jupyter Notebook 1

  5. Reinforcement-Learning-in-Random-Mazes Reinforcement-Learning-in-Random-Mazes Public

    This project employs Q-learning to train a reinforcement learning agent in a randomly generated maze environment.

    Jupyter Notebook

  6. Pacman-Multi-Agent-Search Pacman-Multi-Agent-Search Public

    This project implements a Pacman agent using the minimax algorithm with alpha-beta pruning and a custom evaluation function.

    Python