Insta Help (Shopper's Mood Handler)

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  Intsa Help

Inspiration

Usually, during shopping, we look out for store attendant for help regarding Dress size, price or availability. Sometimes it takes time to find an attendant which is frustrating. The customer emotion recognition application finds frustrated or angry customers to instantly offer help.

What it does

The emotion recognition application collects customer's faces from the CCTV footage and notifies the store manager about the frustrated, bored and disgusted customer. Upon the alert, the manager can send an attendant for serving the customer. This application makes a great difference in customer satisfaction.

How I built it

We have used Microsoft Emotion API to analyze customer faces to detect their emotions.

Challenges I ran into

We initially started with Amazon Recognition API for customer face detection, but the whole aws platform is so tightly coupled that we couldn't complete the integration process. Then we researched on few other face detection APIs like Open CV, finally, Microsoft Emotion API was the best fit for our project.

Accomplishments that I'm proud of

We are proud that we came up with an innovative approach to enhance customer satisfaction with latest technologies.

What I learned

We learned a lot about AWS, though we couldn't integrate it. We are proud that we gained a lot of knowledge regarding many face recognition api's and image processing.

What's next for Insta Help (Shopper's Mood Handler)

We have to design a scheduler to organize attendees help and also train or model with real CCTV footage data.

Built With

• cmd
• css
• html
• javascript
• microsoft-emotion-api
• python