Alankar
AI-Powered Outfit Suggestion System. Alankar uses AI, computer vision, and recommendation technology to help users discover outfit combinations personalized to their visual characteristics, preferences, and requirements.
Dressing is a decision with too many variables.
Choosing an outfit involves multiple factors including appearance, color, style, occasion, and personal preference. Alankar is designed to simplify this decision using intelligent technology.
What Alankar does
It does not stop at a single garment. It composes combinations — looks that belong together and belong to the person asking.
From input to a personalized look.
- 1
User input
The person provides a photo, preferences, or the context of what they need.
- 2
Visual analysis
Computer vision interprets visual characteristics from the input.
- 3
AI processing
Models consider style, color, and compatibility alongside the visual read.
- 4
Style analysis
The system evaluates how pieces relate as a complete look, not as isolated items.
- 5
Recommendation
Outfit combinations are composed from what is suitable to the person and the request.
- 6
Personalized results
The user receives suggested combinations they can explore and refine.
The stack behind the suggestion.
- Computer Vision
- Artificial Intelligence
- Image Analysis
- Recommendation Engine
- Personalization
Input. Analysis. Combinations. Exploration.
Interface studies for how Alankar can present the flow. These are product visuals, not live usage metrics.
Talk to Uditra About Your Next Product
Alankar is one example of how Uditra combines computer vision, AI, and product design. If you have a product in mind, we should talk.