Expert.ai empowers organizations to transform data included in text into knowledge and insight through its deep understanding of complex language. The expert.ai Natural Language API provides a comprehensive set of natural language understanding capabilities to analyze text, including embedded knowledge models in specific domains such as:

  1. Hate Speech Detection
  2. ESG (Environmental, Social, Governance)
  3. Emotional traits & Sentiment analysis

Learn more about the potential of NLP and test your development skills. Build or update a functioning application that leverages one or several of the three knowledge models embedded in expert.ai’s NL API and brings positive change. Here are a few sample use cases for how to use our knowledge models for good:

  •         Analyze reactions on social media to detect cyber bullying
  •         Evaluate content to identify misinformation and fake news
  •         Monitor company reputation on social media
  •         Improve due diligence and mitigate risks

For more information, watch the video of our Launch event above presented by our expert Brian Munz on September 8th. 

You can find all the videos and upcoming Livestreams on Linkedin or on our Youtube channel.

Requirements

Create an app that uses expert.ai Natural Language API and fits in one of the categories.

Category:

  • Using Hate Speech Detection Knowledge Model
  • Using ESG (Environmental, Social, Governance) Knowledge Model
  • Using Emotional traits & Sentiment analysis Knowledge Model

 

What to Submit

  • Demo video. Show the judges your project in a recorded demo. Your video should be less than 3 minutes and show the project functioning as described.

  • Code. URL to your code repository and README description. Provide the judges access by making your code public or giving access to testing@devpost.com and https://github.com/therealexpertai. 

  • Write up. Be sure to include a description of your project. Explain how you used the expert.ai NL API and how your project fits into one of the categories.

  • Project. URL to your functional project on the web or in an app store if available. (Optional)

Hackathon Sponsors

Prizes

$10,000 in prizes

First Place

• $5,000 USD
• Promotion of your project within a press release
• Meeting with the expert.ai team
• Featured in expert.ai Livestream on Linkedin & Youtube channel
• Blog post featuring your project

Second Place

• $2,500 USD
• Promotion of your project within a press release
• Featured in expert.ai Livestream on Linkedin & Youtube channel
• Blog post featuring your project

Third Place

• $1,000 USD
• Promotion of your project within a press release
• Blog post featuring your project

Honorable Mentions (3)

• $500 USD
• Promotion of your project within a press release

*One honorable mention per category:
1. Best Project Using Hate Speech Detection Knowledge Model
2. Best Project Using ESG (Environmental, Social, Governance) Knowledge Model
3. Best Project Using Emotional traits & Sentiment analysis Knowledge Model

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

A qualified panel of judges

A qualified panel of judges

Luca Scagliarini

Luca Scagliarini
Chief Product Officer | expert.ai

Bill Betcher

Bill Betcher
Head of Product Marketing | expert.ai

Daniele Cordioli

Daniele Cordioli
Head of EMEA Solutions Consulting | expert.ai

Fran Mayo

Fran Mayo
Creative Director

Juri Ugolotti

Juri Ugolotti
R&D Knowledge Engineering Manager | expert.ai

Judging Criteria

  • Implementation of APIs
    Includes how many API features are included, quality of use, and development.
  • Creativity
    Includes how unique and creative your project is.
  • Impact
    Includes the potential value your project could provide to the most users.

Questions? Email the hackathon manager

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