Interactive Art Search: AI Pattern Discovery at MAP Museum

Project Overview

The Museum of Art and Photography (MAP), a leading art institution in Bangalore, India, envisioned a new way to boost visitor engagement — letting people search for paintings by drawing shapes. ViitorCloud designed and developed an interactive art search solution that combines an AI custom model with immersive, UI/UX-led design, so visitors can explore MAP's collection of over 20,000 artworks in an engaging, hands-on way.

Objective

The primary goal was a seamless, engaging experience that let museum visitors search for paintings by drawing shapes. The system needed to deliver highly accurate results from hand-drawn input, giving visitors a unique, interactive way to discover art.

Challenges: Teaching an AI to Read Hand-Drawn Shapes

• Data training: Training the AI model to accurately recognize a wide variety of shapes was the core challenge. With no sufficient pre-existing dataset, our team generated training data internally to teach the model effectively.

• Accuracy improvement: Early attempts hit accuracy limits due to sparse data. We implemented continuous learning mechanisms so the model improved its precision and adapted to real user input over time.

The honest difficulty. Accuracy was the real hurdle. Early results were weak because the model had limited data to learn from, and hand-drawn shapes vary enormously between people. Rather than ship an unreliable demo, we invested in generating training data and a continuous learning loop, accepting that precision would build up over time as the model adapted to how visitors draw.

Solutions: An AI-Powered Interactive Pattern Search

ViitorCloud built a robust interactive pattern search tool, featuring:

• Interactive search app: Visitors draw shapes on screen to search for artworks, in an interface integrated with MAP's UI and design.

• AI-driven search engine: An AI custom model interprets hand-drawn shapes and matches them to paintings in MAP's collection, continuously learning to improve accuracy.

• A user-friendly experience: An intuitive, engaging UI/UX lets visitors interact with the artworks seamlessly.

• Artwork authoring tool: Integrated with Cumulus for artwork and annotation management, including metadata management.

The honest difficulty. The hard part was accuracy from a cold start — there was no ready dataset of hand-drawn shapes mapped to artworks, so the team had to generate training data and build a continuous learning loop that got sharper with every visitor interaction. Turning sparse, ambiguous sketch input into precise artwork matches is what made this AI-powered search genuinely usable on the museum floor.

Client Brief

The Museum of Art and Photography (MAP) holds a diverse collection of Indian art, textiles, photography, and design objects. With over 20,000 artworks spanning multiple centuries, MAP wanted an interactive solution that let visitors engage with the collection more dynamically — searching for artwork by drawing shapes and bringing a new level of interactivity to the museum experience.

• Search across over 20,000 artworks: by hand-drawn shape, giving visitors a new way into MAP's full collection.

• Higher visitor engagement,: with the interactive pattern search attracting significant attention and changing how visitors interact with the art.

• Improving accuracy over time,: as the continuous-learning model produces increasingly precise search results from real use.

• A new benchmark for museums,: with MAP's pairing of advanced AI and its collection setting an example for art institutions.

Value Proposition

ViitorCloud's interactive art search delivered several benefits for MAP:

• An engaging visitor experience: The hand-drawn shape search created an immersive, participatory way to discover art.

• Precision and efficiency: The AI-powered search returned accurate, efficient results, so visitors found the exact artwork they wanted with ease.

• Innovative positioning: By combining AI, interactive visuals, and metadata management, MAP set itself apart as a forward-thinking institution embracing digital innovation in the art world.

The Results

MAP's visitors now enjoy a highly engaging, immersive art-discovery experience:

• Enhanced visitor engagement: The interactive pattern search has drawn significant attention and transformed how visitors interact with the collection.

• Improved accuracy: The continuous learning model produces increasingly accurate search results over time.

• A global benchmark: MAP's integration of advanced AI with its collection set a new standard for art museums worldwide.

Conclusion

ViitorCloud's interactive art search app has changed how visitors explore art at MAP. By combining an AI custom model, interactive visuals, and seamless integration with existing systems, we built a solution that boosts engagement and returns precise results — making art discovery easier and more enjoyable.

• Enhanced Visitor Engagement: The interactive pattern search has attracted significant attention, transforming how visitors interact with the art collection.

• Improved Accuracy: The AI system’s continuous learning model has resulted in increasingly accurate search results, enhancing the overall experience.

• Successful Implementation: MAP’s integration of advanced AI technology with its collection has set a new benchmark for art museums globally.

Ready to Build an Interactive, AI-Powered Visitor Experience?

If you want visitors to explore your collection in a way they will remember, an interactive art search built on a custom AI model and thoughtful immersive technology can do it. Talk to the ViitorCloud team about your project or explore our custom AI solutions.