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Yours Flavourfully

Yours Flavorfully is a taste/gustatory installation which explores a merging of written emotion, Indian aesthetics, and taste to provide the user a unique experience that allows them to see their emotions in action and ultimately, taste their emotions. This is an incredible opportunity to engage Indian users in their cultural heritage while western audiences have the opportunity to interact with Indian aesthetics and flavours.

Yours flavourfully lets users literally taste their emotions by transforming their written letters first into Rasa through machine learning. The word Rasa exhibits a duality - translated simultaneously into emotions in Indian aesthetics and flavours/taste otherwise, then into flavours of Pani Puri, popular street food in India. This emotion, rasa, flavour mapping was done through extensive user research. Users enter their letters on the web app to see their uniquely created Rasa Art and then taste their unique Pani Puri through the physical installation.​

The theory of Rasa, in Indian aesthetics, is a highly evolved, ancient conception of base human expressions. They have been used primarily in dance for at least a thousand years. Pani puri is an extremely popular Indian street food which consists of Pani (Flavoured water), filling, and a crunchy puri as the base. 

Combining these two disparate forms hinged on the re-mediation of the letter-form into a taste-form.

For this, we needed to achieve two transformations; One, we needed to transform the letter-form into an emotion-form. We solved this using a custom built recurrent neural network NLP model which detects emotions within a series of sentences and transforms them into a rasa classification.

Two, we then needed to translate the emotion (Rasa) into a flavour. We utilised the duality of meanings of the word “Rasa” in Sanskrit and other Indian languages - the word “Rasa” is used to denote expressions, taste, and in a more literal form, juice at the same time. Thus, we have readymade access to a tried and tested, culturally relevant classification of emotions which easily bridges the emotion-to-taste gap.

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We were able to perform this classification and re-mediation through detailed user interviews and flavour tests which allowed us to map user emotions to particular flavours. Through a trial-and-error (and arguably, highly enjoyable and delicious) process, we made Pani puris using a variety of flavours and tested them out first among ourselves and with users to identify the most appropriate flavour mapping. These flavours are utilised to build different types of Pani puri. 

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The making of pani puris would be automated in the form of an installation which will combine these different flavours based on the users' letters. Users can simply scan their unique QR code at the installation to get their personalised pani puri. They will have the ability to share their letters, Rasa artwork, and the final flavour interpretation with their friends - who can simply use the shared QR code at the installation and get their uniquely flavoured pani puri.

This project was born out of our shared loved for Pani Puri and the lack of physical interaction with each other due to the pandemic (inspite of living in the same city). 

We learnt to make Pani-Puri at home from scratch as we couldn't go to eat it to our favourite street vendor's stall!

We also ate so many Pani-puris that we lost the appetite for it for a while after the completion of the project! 

Team

Anuja Thanawala

Kadambari Sahu

Sandeep Mulagapati

Archana Patil

Pranshu Chaudhary

Chandra Sekhar Reddy Katukuri

Roney Devassia

Mohammad Ayyaz

Recognitions

Sortlisted for presentation at the Efood 2022 Conference in Lisbon, Portugal.

London International Creative Competition (LICC) 2020

Shortlist - Illustrate (Graphic): Other

Official Selection - Illustrate (Graphic): Application Design

Official Selection - Illustrate (Graphic): Interactive/ Responsive Design

The project feature on the efood official Instagram handle

The project featured on the efood official Instagram handle. 

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