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Focusing and working on ProctorAI
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Focusing and working on ProctorAI

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braviadev/README.md

Olanrewaju Toyyib's GitHub Banner

👨‍💻 Toyyib Olaitan OLANREWAJU

M.Sc. Computer Science (Kwara State University) | Full-Stack Engineer | PhD Applicant

Website Google Scholar LinkedIn Email


🎓 Academic Profile & Research Interests

Currently seeking a PhD opportunity focused on Multimodal Fusion and Trustworthy AI. My work bridges the gap between environmental perception and explainable machine learning.

📚 Selected Ongoing Research

  • Quantifying Algorithmic Bias (2025): African Perspectives on the "White Default" Paradigm and Its Socio-Technical Implications.
  • Beyond Traditional Metrics (2025): Developing Robust Evaluation Frameworks for Enhanced Predictive Reliability.
  • Architectural Optimization (2026): Mitigating Computational Lag in Real-Time Server-Side Applications.
  • Explainable AI (In Progress): Formalizing Justification Mechanisms for Hallucinations in Generative AI.

🚀 Technical Expertise

I build scalable, high-performance web applications with a focus on Next.js and TypeScript, often deploying AI models into production environments.


📊 Weekly Development Breakdown

Total Time: 28 hrs 7 mins

TypeScript    21 hrs 29 mins       ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣤⣀⣀⣀⣀⣀⣀⣀⣀   65.58 %
Other         4 hrs 38 mins         ⣿⣿⣿⣦⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   14.17 %
JSON          1 hr 44 mins          ⣿⣤⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   05.30 %
Markdown      1 hr 36 mins          ⣿⣄⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   04.93 %
JavaScript    1 hr 31 mins          ⣿⣄⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   04.64 %

Pinned Loading

  1. bravia.com bravia.com Public

    Personal portfolio showcasing my skills, experience, and academic professional background.

    TypeScript 31

  2. one-blog one-blog Public

    TypeScript 18

  3. config config Public

    ...some eslint configurations.

    TypeScript 18

  4. cryptography cryptography Public

    Cryptography Operations System [ Encryption and Decryption Services]

    PHP 18

  5. proctorai proctorai Public

    AI‑powered web exam system with face recognition, webcam, browser, and audio checks ensures integrity in remote assessments. Flask prototype reached ~72% functional accuracy and 90%+ detection rate…

    HTML 17

  6. efficient-network-skin-cancer efficient-network-skin-cancer Public

    This study evaluates EfficientNet for skin cancer detection to assess its classification accuracy versus existing methods.

    Python 18