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dev-tyta/README.md

Welcome to Dev-tyta's Profile πŸ‘‹

πŸ§‘πŸΎβ€πŸ’Ό About Me:

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

πŸš€ 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.
    • Impact: Pioneered public safety and wellness monitoring solutions, offering critical data for urban planning, event safety, and mental health awareness campaigns.
  • 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.
    • Impact: Revolutionized agricultural disease management, significantly reducing crop losses and increasing yield for small to large-scale farming operations.
  • LoanMe: AI-Enhanced Loan Eligibility Assessment

    • Technologies: LightGBM, Flask, Scikit-learn, Pandas, NumPy
    • Enhancements: Created a predictive financing solution employing machine learning to evaluate loan eligibility, emphasizing ethical AI to promote financial inclusion and prevent bias.
    • Impact: Transformed the lending process for financial institutions, offering a scalable tool that improved risk assessment and supported fair lending practices.
  • Workers Register: Enhanced Workplace Security through Facial Authentication

    • Technologies: FastAPI, AES Encryption, OpenCV, TensorFlow, Face Recognition API
    • Enhancements: Implementing a comprehensive facial authentication system for secure workplace access, integrating cutting-edge encryption for data protection and utilizing AI for accurate, real-time identity verification.
    • Impact: Elevated corporate security measures and operational efficiency, providing a seamless and secure method for employee verification and access management.
  • BreedsMaster: Comprehensive Pet Recognition and Wellness App

    • Technologies: Vision Transformer (ViT), Transformer-based models, TensorFlow, PyTorch, FastAPI, Docker
    • Enhancements: Building an innovative app for pet breed identification and wellness insights, using state-of-the-art AI to offer detailed pet care information, behaviour analysis, and health symptom detection.
    • Impact: Helps foster a deeper understanding and bond between pet owners and their pets, contributing to improved pet care and early detection of health issues.

πŸ“œ Publications:


πŸ“Š My GitHub Prowess:

GitHub stats Top Langs
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Pinned

  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. DTA DTA Public

    Jupyter Notebook

  3. LoanMe LoanMe Public

    Checks if a customer is ripe to get a loan

    HTML 1