ML/AI Experiments
A curated collection of my machine learning runs, architectures, and deployments.
Experiment: wildlife-det-v3
Status: COMPLETE
Parameters
modelYOLOv8
trackerByteTrack
dataset2 000+ labeled images
classes19 animal classes
Metrics
mAP5080%
Precision76%
FPS40–50
Duplicate reduction~70%
Experiment: farmvichar-v1
Status: COMPLETE
TypeScript
Parameters
platformReact Native + FastAPI
authFirebase
eventSmart India Hackathon
languagesHindi, Marathi, English
Metrics
API endpoints12 RESTful
Languages3 multilingual
ModulesChat + Market + Farm
Experiment: doc-editor-v1
Status: COMPLETE
Parameters
backendFastAPI + python-docx
interfaceTerminal-first CLI
file types.docx, .pdf
edit modeIn-place paragraph patching
Metrics
DepsZero cloud deps
Format preserved100%
LatencyLocal (<50ms)
Experiment: ski-website-v2
Status: COMPLETE
Parameters
frameworkNext.js
deploymentVercel
typeCorporate website
focusSEO + Performance
Metrics
Lighthouse score97/100
Core Web VitalsAll green
ResponsiveAll breakpoints