Founder
Building ventures and product stories around real problems.
AKSHATH.STUDIO // FOUNDER OS
Building intelligent systems for the physical world.
Akshath Saravanan is a high school founder and builder exploring AI, robotics, hardware, software, and research — with a focus on products that connect digital intelligence to real-world signals.
STATUS
BUILD MODE
CURRENT VECTOR
AI + HARDWARE
MAIN SYSTEM
AKSHATH.STUDIO
ACTIVE VENTURE
VERDANT LABS
RESEARCH THREAD
ATHLETE FATIGUE INTELLIGENCE
SIGNAL
COLLEGE-READY BUILDER PROFILE
Verdant Labs
Research
Robotics
Software
Science Fair
Web Systems
Mission Map
Choose a signal.
This portfolio is built like a map of the systems I’m building, testing, and becoming.
Human Signal
Not a résumé. A signal map.
I'm Akshath Saravanan, a high school student building toward robotics, AI, hardware, research, and entrepreneurship. I'm most interested in systems where software intelligence connects to real-world inputs: sensors, motion, devices, dashboards, and products that improve over time.
Engineer
Prototyping hardware/software systems that collect signals and turn them into action.
Researcher
Designing experiments around performance, prediction, and intelligent decision-making.
Akshath OS
Mode
Building
Focus
AI + Robotics + Hardware
Flagship
Verdant Labs / Canopy AI
Research Arc
Athlete fatigue intelligence
Stack
Next.js, Arduino, sensors, AI workflows
Direction
MIT / Stanford / Rose-Hulman-level technical growth
What I’m drawn to
Physical-world AI • Robotics • Technical products • Elegant interfaces • Science fair research • Startups • College-level engineering challenges
How I think
Find the signal → Build the prototype → Test the system → Explain the impact → Make it cleaner → Repeat
Current mode
Building Verdant Labs / Canopy AI • Designing Akshath Studio • Exploring athlete fatigue research • Planning robotics + AI projects • Strengthening a college-ready project portfolio
Project Constellation
Each project is a different attempt to connect intelligence with the real world.
The constellation shows what is active, what is building, and what should be started next.
Startup + AI + Hardware
Active VentureVerdant Labs / Canopy AI
Predictive plant-care intelligence platform combining sensors, software, and AI-guided recommendations to help plant owners detect stress before visible damage.
Concept UI / demo data
Sensor + dashboard system
Plant memory + insight layer
SensorsAIHardwareStartup
canopy-aiOpen case file
Software + Design Engineering
BuildingWeb Systems / Digital Interfaces
Websites, dashboards, and digital systems built to communicate ideas, organize projects, and ship polished interfaces.
Next.jsDesignDashboardsSystems
web-systemsOpen case file
Research + Competition History
Past SignalScience Fair Foundation
Earlier science fair wins in 7th grade and 8th grade helped build the foundation for larger research and engineering projects.
7th Grade Science Fair Victory
8th Grade Science Fair Victory
Details being added
ResearchCompetitionEvidenceIteration
athlete-fatigueOpen case file
Design Engineering + Web Development
Live SystemAkshath Studio
This site is also a build: an interactive personal studio designed to communicate projects, systems, and direction.
PortfolioInteractionMotionIdentity
portfolioOpen system
Starting Projects
Future-aligned project concepts worth building.
These are not fake achievements. They are candidate systems that would strengthen the technical story.
AI + Biomechanics + Research
Athlete Fatigue Intelligence System
A sprint and change-of-direction research system exploring how movement data, asymmetry, and performance drop-offs can predict athlete fatigue.
Why it matters
Combines AI, biomechanics, sports performance, and science fair potential.
Difficulty
High
Profile value
Strong research story with measurable signals
Next milestone
Draft a repeat-trial protocol and define variables
data loggingexperiment designbiomechanicsanalysiscommunication
Robotics + Computer Vision
Micro Robotics Perception Lab
A small robotics platform that uses camera input or sensors to detect objects, navigate simple environments, and log decisions.
Why it matters
Connects software intelligence to physical action.
Difficulty
High
Profile value
Demonstrates robotics, perception, and control thinking
Next milestone
Choose platform and perception stack
sensorscomputer visionembedded systemscontrol loopsprototyping
AI + Data + Canopy AI Extension
Plant Stress Dataset + Prediction Engine
A structured dataset and model pipeline for plant health signals using moisture, light, temperature, humidity, and care history.
Why it matters
Turns Canopy AI from threshold sensing into real intelligence.
Difficulty
Medium
Profile value
Shows data thinking and product depth
Next milestone
Define schema and begin data collection
data collectionmodel thinkingsensor integrationdashboard design
Hardware + TinyML + IoT
Embedded AI Sensor Hub
A compact sensor hub that tests on-device inference, low-power design, and real-time environmental monitoring.
Why it matters
Builds deeper hardware credibility.
Difficulty
High
Profile value
Hardware systems thinking with intelligence
Next milestone
Prototype the sensor stack and enclosure
ArduinoTinyMLsensorspower managementIoT
Software + Research Tools
Research Dashboard for Experiments
A dashboard for logging trials, visualizing results, and turning project data into clean evidence.
Why it matters
Supports science fair, research, and technical communication.
Difficulty
Medium
Profile value
Improves rigor and presentation quality
Next milestone
Sketch data entry and result views
Next.jsdata visualizationUXloggingcommunication
Robotics + Control Systems
Autonomous Greenhouse / Growth Chamber Concept
A small controlled environment that adjusts light, moisture, or airflow based on plant stress signals.
Why it matters
Connects Canopy AI to robotics and control systems.
Difficulty
Very High
Profile value
Shows systems integration and ambition
Next milestone
Define a minimal test chamber
control systemsactuationsensingsoftwarehardware
Case File 01
Case File 01: Verdant Labs / Canopy AI
Predictive plant intelligence for valuable indoor plants.
Most plant care is reactive. Owners notice damage after leaves droop, yellow, curl, or weaken. Canopy AI is built around a different idea: use environmental signals and plant history to detect stress earlier and guide the next action.
Problem
Visible symptoms arrive late. Valuable plants often pass the easiest intervention window before owners act.
Signal
Moisture, light, temperature, humidity, and care history create early stress indicators.
System
Plant -> Sensors -> Plant Memory -> AI Insight Layer -> Dashboard -> Owner Action.
Prototype
Arduino and sensor pipeline with live readings, dashboard surface, and recommendation framing.
Intelligence Layer
Model logic is being developed to compare baseline drift and trigger context-aware recommendations.
What’s Next
Richer dataset, cleaner enclosure, recommendation confidence scoring, and stronger demo flow.
Open full case fileConcept UI / demo data
System Diagram
1Plant
2Sensors
3Plant Memory
4AI Insight Layer
5Dashboard
6Owner Action
Concept UI / demo data
Moisture
43%
Light
510 lux
Temperature
24.3 C
Humidity
58%
Stress Risk
Moderate
Recommendation
Shift from direct sun
Achievement Vault
Proof points from competitions, builds, and shipped work.
This section unlocks records instead of stacking badges.
verifiedrecord
Verdant Labs / Canopy AI
Startup and product build focused on predictive plant care through sensors, software, and AI-guided recommendations.
green signal
verifiedrecord
StartedUP Summit Showcase
Selected to showcase Verdant Labs / Canopy AI as a student innovation project.
gold signal
verifiedrecord
7th Grade Science Fair Victory
Early science fair success that helped build a foundation in research and technical communication.
cyan signal
verifiedrecord
8th Grade Science Fair Victory
Continued science fair success and early proof of competition-driven project building.
cyan signal
in progressrecord
Website Development
Built and deployed web projects using modern tools, including personal portfolio and product-focused websites.
green signal
verifiedrecord
Arduino / Sensor Prototyping
Built hardware prototypes using sensors, displays, microcontrollers, and real-time environmental readings.
gold signal
Build Lab
How I turn ideas into systems.
A repeatable method for moving from signal to prototype to proof.
1
Find a real-world signal
2
Build a rough prototype
3
Collect data
4
Design an interface
5
Add intelligence
6
Test with users or judges
7
Iterate toward a sharper product
Canopy AI
Plant environment signals
This system starts with a real-world signal and ends with a clearer decision path.
Athlete fatigue
Sprint/COD movement signals
This system starts with a real-world signal and ends with a clearer decision path.
Web systems
Communication and project organization
This system starts with a real-world signal and ends with a clearer decision path.
Robotics future
Perception/action loops
This system starts with a real-world signal and ends with a clearer decision path.
Research Field
Where experiments become evidence.
Science fair history and athlete fatigue research point toward a stronger research arc.
Research candidate
Athlete Fatigue Intelligence System
An AI + biomechanics research direction focused on detecting fatigue during sprint and change-of-direction tasks using performance drop-offs, movement asymmetry, and repeat-trial data.
sprint time
change-of-direction time
jump or power proxy
left/right asymmetry
repeated trial performance drop
perceived exertion
recovery time
Protocol map
1Warm-up
2Sprint / COD trial
3Repeat trial
4Recovery window
5Compare drift
6Model output
Science fair records
7th Grade Science Fair Victory
Replace with exact award/result • Details being added
8th Grade Science Fair Victory
Replace with exact award/result • Details being added
Systems I’m learning to control
Skill modules, not a flat list.
Each module reflects a layer of the operating system I’m building.
learning
Intelligence Layer
AI workflows, prediction systems, data logging, model thinking, recommendation systems.
AI workflowsprediction systemsdata loggingmodel thinkingrecommendation systems
building
Physical Layer
Arduino, sensors, IoT, displays, embedded prototyping, robotics fundamentals.
ArduinosensorsIoTdisplaysembedded prototypingrobotics fundamentals
applying
Interface Layer
Next.js, TypeScript, Tailwind, Vercel, dashboards, portfolio/product sites.
Next.jsTypeScriptTailwindVerceldashboardsportfolio/product sites
strengthening
Research Layer
Experiment design, science fair communication, biomechanics direction, evidence-based iteration.
experiment designscience fair communicationbiomechanics directionevidence-based iteration
applying
Founder Layer
Pitch decks, product positioning, startup storytelling, demos, competition preparation.
pitch decksproduct positioningstartup storytellingdemoscompetition preparation
Archive Explorer
Small builds, unfinished ideas, experiments, and signals worth tracking.
Switch between views to explore the archive as a constellation, grid, or list.
AI
Canopy AI intelligence layer
Model logic and recommendation flow
Why it matters: Moves the product beyond thresholds.
Hardware
Canopy AI enclosure redesign
Cleaner physical packaging concept
Why it matters: Makes the demo look product-ready.
Software
Sensor dashboard experiments
Interface studies for environmental metrics
Why it matters: Turns raw signals into readable action.
Software
Website development systems
Portfolio and product site frameworks
Why it matters: Communicates work with structure.
Research
Athlete fatigue protocol
Variables and repeat-trial setup
Why it matters: Builds a defensible research path.
Hardware
Robotics perception mini-lab
Tiny sensing and navigation experiments
Why it matters: Connects intelligence to action.
AI
Plant stress dataset
Historical signals and labels for learning
Why it matters: Provides real data for prediction.
Hardware
Embedded AI sensor hub
Low-power monitoring concept
Why it matters: Deepens hardware credibility.
Research
Science fair project archive
Early competition records
Why it matters: Shows sustained technical growth.
Founder
College project roadmap
Long-range systems and milestones
Why it matters: Organizes future ambition.
Founder
Pitch deck systems
Story structure for founders and judges
Why it matters: Makes technical work legible.
Design
Product demo flows
Interaction sequences and reveal order
Why it matters: Improves how ideas are experienced.
Open a channel
For research, robotics, AI, startups, student innovation, or collaboration.
Email is the cleanest route right now.
Contact form
Frontend-only visualmailto:akshath.scholar@gmail.com