class SyedArzaan:
def __init__(self):
self.name = "Syed Arzaan"
self.college = "NIT Hamirpur"
self.branch = "Electrical Engineering → AI/ML"
self.year = "2nd Year"
self.cgpa = 9.00
@property
def current_focus(self):
return [
"Neural Networks & Deep Learning",
"Generative AI (LLMs, Diffusion Models)",
"Data Structures & Algorithms in C++",
"IoT + Edge AI",
]
@property
def goal(self):
return "Build intelligent systems that bridge hardware & AI"| Domain | Focus Areas |
|---|---|
| Deep Learning | CNNs, RNNs, LSTMs, Transformers |
| Generative AI | LLMs, Prompt Engineering, RAG |
| Neural Networks | Architecture design, Backpropagation, Optimization |
| ML Fundamentals | Supervised / Unsupervised, Feature Engineering |
| DSA | Arrays, Trees, Graphs, DP, Sliding Window |
— AI / ML / Data Science —
— Systems & Hardware —
— Dev Tools —
| Project | Stack | Impact |
|---|---|---|
| Heart Disease Predictor | Python · Sklearn · Streamlit | Multi-model ML pipeline with live deployment — Demo |
| Fire-Volt Green | ESP32 · TEG Modules | Hardware converting stubble-burning heat → electricity for agri-vehicles |
| IoT Security System | Arduino · EEPROM · Keypad | Multi-layer hardware auth with non-volatile storage for physical vaults |
| Cosmoshot | C++ (OOP) · Arduino Mega | Space shooter from scratch — memory management & deep OOP patterns |
| Whack-a-Mole / Minesweeper | C++ · ESP32 | Classic logic games on bare metal — hardware interrupts, recursion & tight timing |
In Progress: VisionGuard Smart Cane (ultrasonic + haptic + GPS/GSM), Neural Network from Scratch (NumPy), C++ Fraction Library.
"The best way to predict the future is to build it — one model at a time."