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MrkAnthony/README.md

πŸ’« Mark-Anthony Delva

Student Engineer | Builder of Ideas | Driven by Curiosity & Impact

LinkedIn Email


πŸ‘‹ About Me

Senior at Florida International University (Knight Foundation School of Computing & Information Sciences) | Graduating August 2026

I specialize in building full-stack applications and data pipelines while exploring machine learning models. Technology isn't just my career path it's my passion. Whether bringing ideas to life or creating solutions that genuinely improve people's daily lives, I approach every project with enthusiasm and dedication.


πŸš€ Featured Projects

πŸ† AutoInsight πŸ”—

Full-stack car recommendation platform with AI-powered suggestions and 50,000+ vehicle database.

Tech Stack: React β€’ Node.js β€’ Express β€’ Tailwind β€’ OpenAI API β€’ MYSQL

Features:

  • 🧠 Custom scoring algorithm with AI recommendations
  • πŸ“Š 50,000+ vehicle database with price lookup
  • 🎨 Responsive UI with modern design
β€’ β€’ β€’

πŸ† Butterfly Detection System πŸ”—

An AI-driven environmental monitoring system that automates butterfly detection and species identification using few-shot learning and transfer learning in TensorFlow.

Tech Stack: Next.js β€’ Tailwind CSS β€’ Python β€’ TensorFlow β€’ MongoDB β€’ AWS β€’ Raspberry Pi

Features:

  • πŸ€– Applied few-shot learning with an EfficientNetV2 model in TensorFlow to improve detection reliability with limited data
  • 🧠 Leveraged transfer learning to adapt the model for new butterfly species
  • πŸ”§ Worked with the hardware team to configure the Raspberry Pi, camera, and optical-flow modules, establishing a live data stream for model inference
  • 🌐 Developed a responsive web interface using Next.js and Tailwind CSS to visualize real-time detection results
  • 🀝 Collaborated across hardware, web, and machine learning teams to integrate the system end-to-end
β€’ β€’ β€’

πŸ† Reality Check πŸ”—

AI deepfake detection model that distinguishes between authentic and AI-generated images using instance segmentation.

Tech Stack: Python β€’ Flask β€’ OpenCV β€’ Google Colab β€’ Roboflow

Features:

  • πŸ” Instance segmentation for AI manipulation detection
  • ⚑ 2.0ms image analysis with 75-80% accuracy
  • πŸ›‘οΈ Combats harmful deepfake media dissemination

πŸ’­ What Drives Me

"If you ask anybody who knows me, they'll say I love making software that can make anybody's life better, because I love helping people."

Featured In: Refresh Miami - "Breaking Into Tech"


πŸ› οΈ Tech Stack

JavaScript Python Java React ViteJS TailwindCSS NodeJS Flask Django REST Apache Airflow OpenCV Git GitHub MYSQL Docker Postman Postgresql

πŸ“Š GitHub Stats

GitHub Streak


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Thanks for stopping by! Let's build something amazing together πŸš€

Open to collaborations and new opportunities

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