Featured Project
WeatherSmart
WeatherSmart is an AI-driven application that combines weather intelligence with personal style preferences to provide daily outfit recommendations. The app analyzes real-time weather conditions and suggests appropriate clothing combinations from users' actual wardrobes.
Vercel | Supabase | | OpenWeatherMap API | Tailwind CSS
Learning Journey
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Ideation & Research
Explored AI concepts, no-code platforms, and validated use cases for weather-aware outfit suggestions.
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MVP Development
Built core flows: wardrobe catalog, weather API integration, and initial recommendation engine.
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Launch & Iteration
Deployed to Vercel, gathered user feedback, refined recommendations, and improved UX.
Skills & Expertise
Frontend Development
Building responsive, accessible interfaces with Next.js, React, and Tailwind.
API Integration
Connecting and orchestrating third-party services like OpenWeatherMap for real-time data.
Database Management
Storing and organizing application data with Supabase.
Prompt Engineering
Designing clear prompts and rules for AI-assisted outfit recommendations.
Deployment & CI/CD
Automating builds and deploying reliable apps to Vercel.
What Others Say
"Indhu delivered a polished MVP that clearly demonstrates thoughtful problem-solving and user focus."
AI Bootcamp MentorLead Instructor
"WeatherSmart’s integration of live weather data with practical wardrobe logic is impressively executed."
Project Collaborator
AI Solutions Engineer
"Clean UI, simple flows, and recommendations that actually make sense—great student project!"
Peer Student
AI Practitioner
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