S V Lalitkishore — ECE + Data Science Portfolio

PORTFOLIO // ECE + DATA SCIENCE · SRMIST

ECE + Data Science student building AI-powered IoT and web systems for aquaculture, healthcare, and automation. - Built with precision_

I design and build end-to-end systems — from sensors and edge AI to dashboards and AI assistants — for fish farms, hospitals, pharmacies, and everyday workflows.

DOWNLOAD RESUME

SNAPSHOT://

4+IoT / Healthcare Systems

8+Full-stack & AI Tools

STATUS: OPEN TO OPPORTUNITIES

S V LALITKISHORE//ECE + DATA SCIENCE//SRMIST CHENNAI//EDGE AI//IoT SYSTEMS//FULL-STACK//EMBEDDED//AQUADOT//SMARTFLOW IV//LADA AI//MED INVENTORY//OPEN TO OPPORTUNITIES//S V LALITKISHORE//ECE + DATA SCIENCE//SRMIST CHENNAI//EDGE AI//IoT SYSTEMS//FULL-STACK//EMBEDDED//AQUADOT//SMARTFLOW IV//LADA AI//MED INVENTORY//OPEN TO OPPORTUNITIES//

01/ SELECTED WORK

Featured Systems

01/◆ BUILDING2025–26

AQUADOT

Offline-first fish farm monitoring with edge AI (YOLO11n) and multi-layer connectivity, targeting up to 70% reduction in preventable fish mortality.

alerts <30s · ~70% mortality reduction target

RPi4YOLO11nFastAPITimescaleDBLoRaWAN

02/◆ BUILDING2025–26

SMARTFLOW DIV

High-capacity Digital IV (DIV) infusion system with safety sensors, embedded control firmware, and optional cloud monitoring for hospitals.

8–12h backup · ±5% flow accuracy

ARM Cortex-MC/C++sensorscloud

03/◆ BUILDING2025–26

MED INVENTORY

Camera- and OCR-based smart fridge that tracks medicine expiry automatically and sends multi-channel alerts.

daily automated expiry checks

RPi4BOpenCVTesseractFlask

04/● LIVE2025

BURFI STOCK MANAGER

Live inventory web app deployed in production. Used daily by ~5 staff, managing 200+ entries with ~40% less manual effort.

~40% less manual effort · 200+ entries

Node.jsMongoDBJavaScript

02/ CAPABILITIES

Technical Arsenal

EMBEDDED & IOT DEVICES

ESP32ArduinoRaspberry Pi 4BDHT22RFID MFRC522SPII2CUARTGPIOLora

AI & COMPUTER VISION

YOLO11nOpenCVTesseract OCRsensor fusionhealth scoring

WEB & BACKEND

Node.jsFastAPIFlaskREST APIsReactReact NativeHTML/CSS/JS

DATABASES

MongoDBSQLiteTimescaleDBPostgreSQLFirestore

AI APIS & LLMS

Gemini APIOllamaprompt designAPI integration

TOOLS

Git/GitHubVS CodeArduino IDEdocumentationtesting

03/ HISTORY

Timeline

2024

01/

B.Tech ECE + Data Science, SRMIST

2025

02/

Burfi Stock Manager deployed live · Smart Parking prototype + Farmex AI (SIH)

2025–26

03/

AquaDot, SmartFlow IV, Med Inventory — multi-system builds

2026

04/

LADA AI local LLM voice assistant released and updated successfully

04/ ABOUT

Who I Am

S V LALITKISHORE // SRMIST

GITHUB LINKEDIN EMAIL

I am an Electronics and Communication Engineering student specialising in Data Science at SRMIST. I enjoy building systems that interact with the physical world - connecting sensors, embedded devices, and cloud platforms with AI models to solve real problems in fish farming, healthcare, and everyday operations. I have worked on end-to-end projects ranging from fish farm automation and smart infusion pumps to AI-based inventory tools and personal voice assistants. My focus is on reliability, validation, documentation, and designing systems that people can actually deploy. Every detail matters.

EDUCATION://

B.Tech ECE (Data Science)

SRM Institute of Science and Technology
Chennai, Tamil Nadu
Aug 2024 – Aug 2028

GPA:

9.76/ 10.0

CURRENTLY WORKING WITH://

ESP32YOLO11nFastAPIOllamaReactPythonTimescaleDBNode.js

AQUADOT//SMARTFLOW IV//MED INVENTORY//BURFI STOCK//SMART PARKING//FARMEX AI//CAREERSIGHT//LADA AI//AQUADOT//SMARTFLOW IV//MED INVENTORY//BURFI STOCK//SMART PARKING//FARMEX AI//CAREERSIGHT//LADA AI//

04/ CONTACT

Get In Touch

Open to internships, project collaborations, and research opportunities in embedded systems, edge AI, and full-stack development.

→ GITHUB → LINKEDIN → EMAIL

SVLALITKISHORE