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Raghav7-tech/README.md
Three suns above an orbital command station
Animated orbital command status showing intelligence and physical systems online
Animated introduction

RAGHAV DHINGRA

AI × ALGORITHMS × HARDWARE

GitHub followers Status: building Profile views

Mission • Systems • Arsenal • Field Log • Telemetry


◈ Mission Control

I build intelligent systems that leave the notebook—agents that steer traffic, wildfire pipelines that turn satellite data into decisions, and simulations where autonomous fleets negotiate crowded airspace.

My favorite territory is the seam between machine intelligence and the physical world: reinforcement learning, full-stack products, edge hardware, and the algorithms holding them together.

Current directive: turn ambitious ideas into systems that can be simulated, measured, deployed, and trusted.

1,500+
DSA PROBLEMS
1910+
LEETCODE RATING
KNIGHT
CONTEST RANK
∞
CURIOSITY BUDGET

⬡ Flagship Systems

01 / Rakshak 3.0

Adaptive traffic intelligence

A Deep Q-Network replaces fixed signal timing with live traffic decisions and emergency-vehicle pre-emption, bridging SUMO simulation with ESP32 edge hardware.

Python PyTorch SUMO ESP32

Explore the system →

02 / SteppeGuard

Wildfire sentinel AI

An early-warning and mitigation platform that fuses NASA FIRMS satellite telemetry with predictive intelligence for threat analysis and evacuation support.

React FastAPI Gemini Supabase

Explore the system →

03 / Swarm_X

Drone logistics simulator

A high-fidelity UTM engine for autonomous fleet coordination, collision-aware routing, and last-mile logistics inside complex 3D airspace.

Python Pygame NumPy Simulation

Explore the system →

04 / X-O-Mind

Perfect-strategy engine

A game-theory playground featuring a provably unbeatable Minimax opponent with alpha-beta pruning. Small board; zero mercy.

C++ Minimax Game Theory Algorithms

Challenge the engine →

NEW SIGNALS IN ORBIT

Satori — sudden enlightenment for complex architectures · Thermex — preventing weather-driven medication emergencies

⚡ Engineering Arsenal

Technology stack



Reinforcement Learning Machine Learning ESP32 IoT Simulation

INTELLIGENCE LAYER  →  ML · Deep RL · Predictive Modelling
SYSTEMS LAYER       →  APIs · Databases · Real-time Simulation
PHYSICAL LAYER      →  ESP32 · Sensors · Displays · Serial Protocols
OPERATING PRINCIPLE →  Prototype fast. Measure honestly. Engineer for impact.

✦ Field Log

Competition signals — expand transmission
Signal Result
Blind Coding · SANKALAN 2026 🥇 1st place
Innovision 7.0 · CYNET'26 🏆 Winner
Coding Battle · Aravali College 🥈 2nd place
Ideacrux Ideathon · DIGIWEEK 2025 🥈 2nd place
Mind Matrix · CYNET'26 🎖️ Runner-up
SnapAR Solo Sprint 🥉 3rd place
GFG × Nerds Room HackFest ⚡ Grand finalist
TechnoXian Robotics Championship 🤖 World-level participant
Open-source signals — expand transmission
Program Signal
Social Winter of Code 2026 🌟 Top 50
Nexus Spring of Code 📊 Rank #158
GirlScript Summer of Code 🌸 Contributor

◉ Live Telemetry


Got a hard problem at the intersection of software, intelligence, and the real world?

Connect on GitHub



TRANSMISSION COMPLETE · THE NEXT STABLE ERA IS BUILT, NOT FOUND

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