Inspiration

Now that people are more into social Networking, companies trying to know the status of the newly launched products. We are trying to know how customers think about the product.

What it does

It basically works as an emotional analyzer as well as sentimental analyzer trying to know how customers feel about the product, through emoticons. It even integrates facebook messanger bot which guides customer to check their opinion and an SMS bot which helps user to check with their opinion offline.

How we built it

We took advantage of Bootstrap template ,libraries like d3.js for the UI. node.js,express.js for the backend. Twitter-public-API to get tweets, IBM-Watson for emotional analysis, Facebook-sms-api for chatbot and API.ai for Artificial Intelligence for chatbot, Twilio for SMS bot

Challenges we ran into

Working with large amount of dataset is quite challenging, working around CORS, Integrating AI for the messanger bots.

Accomplishments that we're proud of

Building a industry ready application in 36hrs. Successfully integrating AI for both online and offline chat bots. Splitting tons of twitter data into Shards.

What we learned

AI topics for bot. Sentimental Analysis. Tracking huge amounts of data.

What's next for Senticon

We are planning to extend our work into various social media sites like reddit, facebook, youtube

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