PrototypeAI Experiment2025
Smart Document Assistant
A prototype exploring how AI can organize and summarize complex documents while keeping a reviewer in the loop.
TypeScriptReactNode.jsPostgreSQL
Read case study
All projects
ProductionAI Experiment2026
Rice Doctor AI
AI-assisted ASEAN rice disease scanning app for early detection.
Problem
Early rice disease symptoms can be difficult to identify consistently in the field.
Context
Agricultural technology product focused on rice disease detection.
My role
Product and application development.
Solution
An AI-assisted scanning workflow that helps identify possible rice diseases early.
Key features
- Image-based scanning
- AI-assisted detection
- Agricultural decision support
Architecture overview
- 1
Image intake
- 2
Model inference
- 3
Result interface
AI usage
AI assists with rice disease image classification.
Accessibility
Scanning results should be paired with plain-language guidance and non-color indicators.
Security
Production platform; data handling details are not documented publicly.
Outcome
Supports faster awareness of possible rice disease symptoms.
Lessons learned
- AI tools work best when results remain understandable to field users.
Related projects
ConceptAutomation Tool2025
Service Request Triage Workflow
A concept for routing incoming public service requests using rules first and AI assistance second.
TypeScriptReactZodNode.js
Read case study