class Sharkyii:
def __init__(self):
self.name = "Sneh Kansagara"
self.current_location = "ABV-IIIT Gwalior 🎓"
self.education = "B.Tech in Mathematics & Computing"
self.role = ["Python Developer", "AI Enthusiast", "Problem Solver"]
self.experience = [
"Ex-AI Developer Intern @ AIGETAI",
"Open Source Contributor @ Gitmesh"
]
self.currently_learning = ["Deep Learning", "NLP", "Computer Vision"]
self.interests = ["Biometric Systems", "Neural Networks", "Web Development"]
self.fuel = "Chaas 🥛" # Never code on empty stomach!
self.mindset = "Always keep swimming... and coding! 🦈"
def say_hello(self):
print("Sneh here! Let's build something awesome ")
shark = Sharkyii()
shark.say_hello
🎯 What Makes This Special:
- 🧠 Architecture: Siamese CNN with contrastive loss & Euclidean distance metrics
- 🖼️ Preprocessing Pipeline: Rembg → OpenCV → CLAHE → Otsu thresholding
- 🌐 Full Stack: Flask backend + Responsive frontend + REST API
- 📊 Smart Matching: Real-time similarity scoring with binary verification
- 🚀 Production Ready: Optimized for deployment and scalability
Tech Stack: Python TensorFlow Flask OpenCV REST API Neural Networks
