- 🎓 Computer Applications in AI & ML | Building real-world solutions at the intersection of software and hardware
- 🔭 Currently working on ML Ops pipelines for CV systems & Arduino, ESP32 IoT projects
- 🌱 Learning Edge ML, embedded networking, and scalable ML deployment
- 💡 Passionate about Computer Vision, IoT sensor integration, and data-driven products
- 📍 Based in India
- 💬 Ask me about OpenCV, Arduino, Flask APIs, or ML model deployment
Python |
C |
C++ |
JavaScript |
SQL |
OpenCV |
MediaPipe |
scikit-learn |
NumPy |
Pandas |
Flask |
REST API |
HTML5 |
CSS3 |
Arduino |
ESP32 |
Sensors |
Git |
GitHub |
VS Code |
PyCharm |
SQL Workbench |
Anaconda |
Google Colab |
Arduino IDE |
|
Real-time sign language detection system
Tech: |
IoT sensor integration with real-time visualization
Tech: |
|
ML-powered health prediction system
Tech: |
Computational geometry image processor
Tech: |
class AryanRanjan:
def __init__(self):
self.current_work = [
"Building ML Ops pipelines for CV systems",
"ESP32 real-time networking projects",
"Interactive Edge ML demos",
"IoT sensor fusion applications"
]
self.learning = [
"Advanced Computer Vision techniques",
"Embedded ML optimization",
"Cloud deployment strategies",
"Real-time data processing"
]
self.interests = [
"Machine Learning",
"Computer Vision",
"IoT & Embedded Systems",
"Full Stack Development"
]
def say_hi(self):
print("Thanks for visiting! Let's build something amazing together!")
me = AryanRanjan()
me.say_hi()
⚡ "First, solve the problem. Then, write the code." - John Johnson
Feel free to follow, contribute, or suggest improvements to the repositories.