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dev-tyta/README.md

Welcome to Dev-tyta's Profile 👋

🧑🏾‍💼 About Me:

  • 🔭 Profession: ML Engineer
  • 🎯 Long Term Goals: Machine Learning Research Engineer with an Embedded Systems Engineering Background
  • 📚 Current Focus: Large Language Models, Facial Recognition, and Visual Questioning.
  • 👯 Collaborations: Always up for ML and Computer Vision Projects
  • 📝 Content Creation: Pen down technical articles for self-growth
  • 😄 Pronouns: He/Him
  • ⚡ Fun Fact: If I'm not coding, you'll find me in the dreamland!
  • 🌐 Connect with me: @tee-tyta

🚀 Projects:

  • HumanCount: Advanced Crowd Monitoring with Wellness Detection

    • Technologies: Faster-RCNN, YOLO, PyTorch, FastAPI, TensorFlow, OpenCV
    • Enhancements: Developed a dual-purpose system integrating crowd density analysis with emotional and physical wellness detection, utilizing advanced computer vision and AI algorithms for real-time insights.

  • MaizeFolioID: Precision Agriculture for Maize Health

    • Technologies: InceptionNet, VGGNet, Streamlit, HuggingFace Hub, TensorFlow, Docker
    • Enhancements: Engineered a robust image recognition application tailored for detecting foliar diseases in maize, incorporating deep learning models for accuracy and Streamlit for user-friendly access.

📊 My GitHub Prowess:

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  1. MaizeFolioID MaizeFolioID Public

    MaizeFolioID is an image recognition model trained to predict the presence of foliar diseases in maize leaves.

    Jupyter Notebook 1

  2. SnapFeast SnapFeast Public

    SnapFeast revolutionizes dining with facial recognition for personalized meal suggestions. It tailors experiences by learning from your preferences and past orders, combining cutting-edge AI for se…

    Python

  3. TheTherapist TheTherapist Public

    ChatBot built using the RAG technique, also uses the functionality of emotion detection and recognition to recommend music

    Jupyter Notebook

  4. VisionIQ VisionIQ Public

    VisionIQ is an object detection system capable of identifying and counting individuals within images or video streams.

    Jupyter Notebook

  5. YorubaCNN YorubaCNN Public

    Sentiment Analysis and Named Entity Recognition of Yoruba Articles using CNN

    Jupyter Notebook