01 / 07 — INTRO
GUGUL.
PORTFOLIO / 2026 · CLASS X

Gugul KumarDehury.

Student innovator

I'm a Class 10 student at Delhi Public School, Sambalpur. I turn curiosity into experiments through artificial intelligence, robotics, programming and electronics.

Explore my work ↗Discover my story ↓
Portrait of Gugul Kumar Dehury
✦ AI & ROBOTICS
● BUILDING WHAT'S NEXT
SCROLL TO EXPLORE ↓
01 / WHO I AM

Curiosity is
my starting point.

I'm Gugul Kumar Dehury, a student who enjoys understanding how things work—and discovering how to make them better. I explore Python, AI assistants, computer vision, microcontrollers, sensors and robotics.

My favourite part of making something is the full journey: imagining an idea, assembling the hardware, writing the code, testing it, solving problems and improving it until it works.

14Projects & concepts
10Current class
AIKey interest
“I don't just want to use technology. I want to understand and build it.”
PERSONAL PROFILE / THE ORIGINAL STORY

Meet the person behind the projects.

01 / EDUCATION

Delhi Public School, Sambalpur

I'm currently studying in Class 10. Alongside my schoolwork, I spend time exploring science, mathematics, artificial intelligence, robotics and practical electronics.

02 / MY INTERESTS

AI, robotics & engineering

I enjoy building and improving intelligent machines, learning Python, experimenting with Arduino and ESP32, and exploring how sensors and computer vision can solve real problems.

03 / MY APPROACH

Design. Build. Discover.

For me, an idea is just the beginning. I enjoy understanding how a system works, connecting its components, writing the code, testing it, and improving it after every mistake.

04 / WHAT DRIVES ME

Curiosity with purpose

I'm especially interested in practical ideas for safer roads, healthier environments and smarter communities. I want my projects to be useful, not just visually impressive.

02 / THE INNOVATION LAB

Ideas in motion.
Systems in action.

A robot that responds to gestures. An assistant that talks. A sensor system that monitors its surroundings. These are the kinds of projects that motivate me to learn how intelligence and engineering work together.

PYTHONARDUINOESP32COMPUTER VISIONAI
GKD
03 / WHAT I'M LEARNING

Skills built by
actually building.

I'm learning through experiments, troubleshooting and real projects. These are interests and growing skills—not claims of mastery.

01 / CODE

Python & Automation

Programming assistants, creating useful scripts and connecting software to devices.

02 / AI

Computer Vision

Exploring gesture recognition, voice interfaces and intelligent interactions.

03 / HARDWARE

Arduino & ESP32

Working with sensors, motors, controllers and wireless communication.

04 / PROCESS

Debugging & Design

Testing prototypes, diagnosing problems and improving reliability.

04 / EXPERIMENTS & CONCEPTS

Explore the
project universe.

Hands-on prototypes, ongoing builds and proposed concepts. All 14 original projects are displayed below. Select any project to read its full story, technology, features and development status.

05 / BEYOND THE CODE

Learning to build.
Learning to lead.

Technology is part of my story. School activities, teamwork and competitions have also shaped the way I approach challenges.

2023–24

INSPIRE Awards–MANAK

My Smart Bike Safety System concept was selected, encouraging me to keep exploring ideas that solve everyday problems.

LEADERSHIP

House Sports Captain

Organising and supporting a school house team taught me responsibility, communication, discipline and collaboration.

CURRENT FOCUS

Keep experimenting

Exploring AI-powered assistants, gesture-controlled robotics, embedded electronics and smart city concepts.

MORE FROM MY JOURNEY
2023–24

An early innovation milestone

The INSPIRE Awards–MANAK selection of my Smart Bike Safety System concept encouraged me to keep looking for real-world problems worth solving.

TEAMWORK

Learning through leadership

As a school house Sports Captain, I've learned the importance of organising, supporting teammates, taking responsibility and working toward a shared goal.

WHAT I'M EXPLORING

Building the next prototype

My current interests include AI assistants, gesture-controlled robots, smart-city environmental systems, line-following robotics and connected electronics.

07 / THE ORIGINAL BEGINNING

Where it all
began.

FEATURED PROJECT · CLASS VII

Smart Bike Safety System

A connected road-safety concept exploring collision warnings, a sensor-enabled helmet, gesture-controlled turn indicators, vibrating handlebars, and emergency alerts.

This early proposal brought together my interest in solving everyday problems with the possibilities of sensors and connected technology.

Road safetyConnected sensorsWearable technology
Explore the project archive ↗
2023–24 · REPORTED MILESTONE

INSPIRE Awards–MANAK

I report that my Smart Bike Safety System idea was selected for INSPIRE Awards–MANAK 2023–24. The idea was proposed during Class VII and became an important encouragement to continue experimenting.

The selection is reported by the student; the supplied project description is not an official selection certificate. The concept does not imply that every proposed subsystem was built.

08 / MY LEARNING JOURNEY

From questions
to prototypes.

CLASS VII · 2023–24

An early innovation milestone

Developed the Smart Bike Safety System proposal and reported selection in INSPIRE Awards–MANAK 2023–24.

LEARNING BY BUILDING

Electronics, programming and robotics

Explored Arduino, sensors, motors, motor drivers, wireless control, Python and the fundamentals of computer vision.

SCHOOL LEADERSHIP

House Sports Captain

Helped organise, coordinate and motivate a school house team—developing teamwork, communication and responsibility beyond technical projects.

NOW · CLASS 10

AI, robotics and smart environments

Continuing to experiment with an AI Talking Robot Car, gesture-controlled robotics, smart-city microclimate concepts and practical systems that can help communities.

09 / RECOGNITION & LEADERSHIP

The work.
The journey.

Every achievement motivates the next experiment, and every responsibility teaches me something beyond technology.

INNOVATION · 2023–24

INSPIRE Awards–MANAK

My reported selection for the Smart Bike Safety System idea remains an early source of motivation to keep designing solutions to real problems.

SCHOOL · TEAMWORK

House Sports Captain

Leadership means planning, communicating, supporting teammates and taking responsibility. These lessons are as important to me as writing code or building circuits.

Projects and competition ideas are shown with their individual development status. Inclusion in this portfolio does not mean every concept was completed or won an award.

10 / CONNECT

Let's build
what's next.

Interested in a robotics demonstration, a school innovation collaboration, or discussing an idea? Feel free to reach out.

dehurygugul@gmail.com ↗

Gugul Kumar Dehury · Class 10 · Delhi Public School, Sambalpur

06 / WHAT COMES NEXT

The future isn't
something to wait for.
It's something to build.

I'm still learning, still experimenting and always looking for the next challenge worth solving.

See my projects ↗Back to the beginning ↑

All 14 Projects — Detailed Portfolio

Browse the original project descriptions, technologies, working principles and current development status.

Smart Bike Safety System — Concept • INSPIRE selection

Overview

A connected safety ecosystem for cyclists, combining collision warnings, intelligent helmets, gesture indicators and emergency alerts.

Problem

The original proposal responds to risks faced by cyclists: poor visibility, unexpected hazards and delayed emergency assistance.

How it works

Sensors such as LiDAR, radar or cameras would detect potential collisions and trigger visual or sound warnings. A smart helmet could monitor sudden movements, while glove-controlled indicators would make turning intentions clearer. Vibrating handlebars would warn about hazards outside the rider’s direct view.

Features

Proposed subsystems: collision avoidance; smart helmet; connected traffic infrastructure; gesture-controlled turn indicators; haptic handlebars; emergency response integration; mobile navigation; traffic-data analysis; education and outreach.

Technology

Sensors, cameras, wearable electronics, smartphone app, wireless communication and traffic-data analysis.

Notes

This is the project identified in the uploaded Class VII document. The user reports it was selected for INSPIRE Awards–MANAK 2023–24. The document outlines a proposal; it does not establish that every subsystem was built.

AI Talking Robot Car — Prototype development

Overview

A remotely controlled robot car designed to understand spoken commands and respond conversationally through a connected computer.

Problem

Typical small robot cars use buttons or simple remotes, limiting natural interaction. This project explores speech and vision as a more intuitive control layer.

How it works

A laptop runs speech recognition and conversational logic. Driving instructions are translated into movement commands sent to the Arduino. The motor driver powers the motors; the laptop speaker provides voice responses. Computer vision can be added for camera-based interaction.

Features

Voice-directed forward, reverse, left, right and stop; spoken answers; laptop camera; manual rather than autonomous navigation.

Technology

Arduino Uno, motor driver, DC motors, Bluetooth/serial connection, Python, computer microphone and speaker.

Notes

Iterative prototype; software connectivity and voice integration are development areas.

AI Hand Gesture Controlled Robot — Working prototype

Overview

A camera-controlled robot car that responds to hand gestures instead of a physical remote.

Problem

Conventional remote control requires handheld hardware. Hand gestures offer a visual interface for robotics education.

How it works

A laptop camera detects hand landmarks. Python classifies finger patterns and sends short commands wirelessly. A microcontroller receives each command and controls motor direction through a driver.

Features

Five fingers = forward; four = stop; three = reverse; two = right; one = left. Includes smoothing and command-stability considerations.

Technology

Python, hand landmark detection, Arduino Mega 2560, BLT-05/HC-05 Bluetooth, L298N, four BO motors.

Notes

User reports a functioning prototype, with ongoing work on smoothness and recognition accuracy.

AI-Driven Smart City Microclimate Control — Prototype development

Overview

An environmental intelligence system that senses local conditions and coordinates cooling, ventilation and air-quality responses.

Problem

Urban heat, air pollution and noise can vary significantly between nearby streets, school grounds and public spaces.

How it works

A distributed ESP32-based sensor network measures temperature, humidity, particles, gases, wind and sound. Edge analytics could predict short-term spikes and trigger local interventions or alerts.

Features

Temperature and humidity monitoring; PM2.5/PM10; CO₂ and VOC monitoring; noise and airflow; proposed mist cooling, fans, filtration and notifications.

Technology

ESP32, environmental sensors, edge AI, relays or drivers, fans, cooling modules and alert services.

Notes

Physical component collection and prototype planning reported; predictive and city-scale deployment remain proposed.

Arduino Smart City Automation — Prototype development

Overview

A compact city model demonstrating how multiple sensors can coordinate automated responses.

Problem

A smart-city system must react to environmental and safety events rather than only display readings.

How it works

An Arduino Mega reads gas, temperature, humidity, rain, soil moisture and distance sensors. Rules activate fans, alarms, indicator lights, a servo and display modules.

Features

Gas event triggers buzzer and fans; high temperature produces alert beeps; rain and moisture produce indicators; distance detection drives LED patterns.

Technology

Arduino Mega, MQ-2, DHT22, rain sensor, soil moisture sensor, ultrasonic sensor, OLED, RGB matrix, buzzer, fans and servo.

Notes

Model-level automation concept and implementation work.

High-Speed Line Following Robot — Competition build

Overview

A fast robot engineered to follow a dark track using sensor feedback and precise motor control.

Problem

At higher speeds, basic left/right logic can oscillate or lose a line around corners.

How it works

A multi-channel reflectance array estimates line position. A PID controller calculates steering corrections, while a dual motor driver adjusts the left and right motors independently.

Features

Sensor calibration, weighted line error, proportional/integral/derivative correction, speed tuning and recovery from line loss.

Technology

Arduino Nano, TB6612FNG, 5-channel IR array, 400 RPM motors and 7.4 V battery.

Notes

Competition-oriented design; final performance depends on calibration and track testing.

Community Health Air Scanner — Concept

Overview

An air-quality monitoring concept for schools and community spaces, designed to provide understandable early warnings.

Problem

People often cannot tell when local air conditions may aggravate breathing discomfort.

How it works

Sensors monitor environmental conditions; software identifies changes and flags elevated exposure conditions. Any health-related risk messages would be advisory, not medical diagnoses.

Features

Community dashboards, alerts, trend visualization and proposed prediction of poor-air episodes.

Technology

Air-quality sensors, microcontroller, data logging and predictive analytics.

Notes

Concept; health claims require validation and careful communication.

AI Smart Exo-Support Belt — Concept / design

Overview

A wearable belt concept that senses posture and load and gives gentle feedback.

Problem

People may benefit from reminders to change posture during prolonged activity.

How it works

An inertial sensor estimates body orientation, optional flex/load sensors capture movement and pressure, and a controller activates vibration cues when configured thresholds are crossed.

Features

Posture monitoring, adjustable feedback and optional mechanical assistance concepts.

Technology

ESP32, MPU6050/BNO055, HX711 load cell, flex sensor, vibration motor and optional servo.

Notes

Design reference; not a medical device or validated treatment.

Railway Digital Twin — Concept

Overview

A digital model of railway infrastructure for monitoring, scenario testing and maintenance planning.

Problem

Rail systems need ways to anticipate faults and understand operational consequences before they occur.

How it works

Virtual representations of tracks, trains and sensors could be updated from incoming telemetry, enabling anomaly alerts and simulated operating scenarios.

Features

Asset monitoring, condition dashboards, predictive maintenance concepts and what-if simulation.

Technology

Sensor telemetry, data pipelines, 3D simulation, analytics and alerting.

Notes

Early-stage concept; no real railway integration claimed.

Self-Healing Smart Highway — Concept

Overview

A roadway concept combining damage detection with maintenance prioritization and possible self-repair materials.

Problem

Road damage can grow before maintenance teams identify it, increasing repair costs and safety risks.

How it works

Embedded or roadside sensors could flag damage and send location-tagged maintenance requests. Self-healing materials would require separate laboratory testing.

Features

Damage detection, maintenance dashboards and material-repair research directions.

Technology

IoT sensors, image analysis, geotagging and materials science.

Notes

Concept; self-healing capability has not been demonstrated.

SAF-Tiles — Concept

Overview

A proposed modular tile system exploring safer and more responsive public spaces.

Problem

Public infrastructure often lacks embedded awareness and adaptive safety features.

How it works

The concept could combine modular surfaces with sensing and status indication; detailed engineering specifications remain to be defined.

Features

Potential surface sensing, visual warnings and modular deployment.

Technology

Microcontrollers, embedded sensors and modular fabrication concepts.

Notes

Early-stage idea; functionality has not yet been finalized.

LPG Gas Detection System — Project concept

Overview

A gas-monitoring prototype idea that warns occupants when a sensor detects potentially hazardous conditions.

Problem

A delayed response to a gas leak can create serious safety risks.

How it works

A gas sensor feeds a controller, which compares readings with configured thresholds and triggers an alarm. Real deployment requires calibrated certified equipment.

Features

Audible alert, visual indicator and optional ventilation signaling.

Technology

Gas sensor, Arduino/ESP32, buzzer, LEDs and optional relay.

Notes

Educational concept; not a replacement for a certified gas detector.

Agriculture Rover — Concept

Overview

A small ground rover proposed for basic field monitoring and remote observation.

Problem

Manual field inspection can be repetitive and time-consuming.

How it works

A mobile chassis carries sensors or a camera; a remote operator guides it across a test area and views environmental readings.

Features

Remote driving, sensor logging, basic observation and possible future navigation.

Technology

Microcontroller, motor driver, motors, chassis, wireless link and optional soil sensors.

Notes

Concept / exploratory design.

Three-Tray Serving Robot — Concept / build plan

Overview

A compact serving robot with three trays and remote-controlled movement.

Problem

A small-scale service robot can demonstrate motor control and load-balancing principles in an accessible way.

How it works

A wheeled chassis supports three stacked trays; a controller receives directional commands and drives the motors. Stable tray mounting and speed limits are important design considerations.

Features

Remote movement, multi-level tray support and lightweight demonstration use.

Technology

Cardboard or lightweight chassis, motors, driver, controller, battery and remote link.

Notes

Build concept; not intended for unattended public operation.