JAISEV
Computer Scientist & Aspiring Machine Learning Engineer
FEATURED
A collection of digital products and experiments crafted with precision.
AI vs Real Image Detector
This project is a Binary Image Classifier capable of distinguishing between Real Photographs and AI-Generated Images (e.g., Midjourney, Stable Diffusion). It achieves ~86% accuracy using Transfer Learning on the MobileNetV2 CNN architecture. 🚀 Features Lightweight Model: Uses MobileNetV2 for fast inference, even on CPUs. Web Interface: Includes a Gradio app (app.py) to drag-and-drop images for testing. Tunable Sensitivity: The UI features a slider to adjust the detection threshold, helping to catch subtle AI fakes. Training Script: Complete, readable code (train_model.py) to train your own version on custom datasets.
ABOUT
THE AGENT
I am currently pursuing an undergraduate degree in Computer Science at the National University of Singapore (NUS).
I recently completed the International Baccalaureate Diploma Programme (IBDP), scoring 41 points, placing me in the top 5% of students worldwide. My passion for technology started early: I topped my 80-student cohort in IGCSE Computer Science and achieved a 7 in IB Higher Level Computer Science.
I’m particularly interested in cryptocurrency investing, fascinated by the potential of blockchain technology. I also have a strong interest in AI and cybersecurity, and enjoy learning about new security challenges and solutions and the potential for AI to address these challenges.
TECHNICAL ARSENAL
System Capabilities
Frontend Architecture
Backend & Systems
DevOps & Tools
INITIATE CONTACT
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