Kalpita MoodFit · Explainable AI Styling Product
A scored reason for every outfit — built from your day, not a generic trend. Open it from a link; no app store.
MoodFit recommends a daily outfit with an explainable score from 10+ context signals, delivered as a Progressive Web App. Built AI-first by a Kalpita team — 70%+ AI-enabled engineering, part of a growing portfolio of AI products and solutions.
Get an outfit with a reason in under 60 seconds — no download, no wardrobe upload.
The problem
Industry estimates put the cost of deciding what to wear at roughly 65 hours a year, and most of a wardrobe goes unworn because combinations are hard to picture under time pressure.
Existing apps tell you what, never why, use weather as their only context, and make you photograph your wardrobe before they help. MoodFit removes every one of those barriers.
What it does
A generative-AI model weighs your calendar, mood, style lens, body profile, location, weather and time in a single call, then recommends an outfit with a confidence score and a one-line reason.
Don't like it? Get another in seconds — or upload what you're wearing and let MoodFit roast it, then share the card.

Capabilities
Why, not just what — with a share mechanic built into the product rather than bolted onto the marketing.
A day-specific reason on every outfit, not a generic percentage — because a suggestion you can't understand is one you won't trust.
10+ signals: calendar, mood, style universe, body profile, exclusions, city, weather, time and optional emotion.
A funny, scored verdict with a WhatsApp and Instagram-ready share card — a playful mechanic designed to spread.
First suggestion in 60 seconds, text-first, no photos required. Wardrobe features come later, once the value has landed.
Trending, K-Pop, Minimal, Boho, Classic and Streetwear — a lens the recommendation is built through, not a filter applied after.
Cataloguing, last-worn history, mix-and-match, cost-per-wear and least-used insights on what you already own.
Wardrobe-gap detection links to major fashion marketplaces, so a purchase closes a real gap rather than adding another unworn item.
Open from a URL on Android and iOS, add to the home screen, and keep saved data offline. A shared link is the whole install.
Six steps from a mobile number to an outfit with a reason.
Log in with a mobile-number OTP and set your profile once: gender, age, body type, style, exclusions.
Tap today's occasion and mood goal, and pick a style universe.
Type a few wardrobe items in plain text — or pick from your saved wardrobe.
Location, weather and time fill in automatically — no extra questions.
MoodFit generates an outfit in under 5 seconds, with a scored reason for your exact day.
Share the score card to WhatsApp or Instagram — or roast today's outfit for a laugh.
Against single-signal, app-store-bound styling apps that explain nothing.
| Capability | Kalpita MoodFit | Existing Wardrobe Apps |
|---|---|---|
| Why, not just what | Explainable score tied to your day | Suggestions with no reasoning |
| Context signals | 10+: calendar, weather, location, mood, body, style | Mostly weather only |
| Onboarding | First suggestion in 60 seconds, text-first | Photo-tag the whole wardrobe first |
| Virality | Roast plus a shareable WhatsApp/Instagram card | Solo, no social mechanic |
| Access | PWA via URL — no app store | App-store download required |
| India-first | City, humidity, cultural norms, WhatsApp | Global and generic |
Who it's for

MoodFit is a Progressive Web App that runs natively on Android Chrome and iOS Safari, installable to the home screen and distributed by a simple link. A generative-AI model (Claude via Azure, with vision) returns structured JSON — items, reason, confidence — and Azure SQL stores profiles, wardrobe and history. Selfies for optional emotion detection are processed in real time and never retained.
Proof, not promises
First Value in 60s
Text-first onboarding
No wardrobe upload, no waitlist — a few typed items are enough for the first real recommendation.
Under 5Seconds
Outfit generation
Every result arrives with an explainable score, so speed never costs the reasoning.
10+Context Signals
One AI call
Calendar, mood, style, body, exclusions, city, weather and time weighed together rather than in sequence.
Built-In Virality
Roast + share cards
The share mechanic is part of the product experience, not a marketing layer added afterwards.
Four Revenue Streams
Monetisation model
Freemium, affiliate, B2B licensing and sponsored content — with the same explainable engine underneath.

Try a 30-minute demo, or talk to our team about licensing the explainable-styling engine for your brand or platform.
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