Semantic Search AI Hackathon: Winner Announcement

An Unforgettable Experience!

Our Semantic Search Hackathon captivated 1749 AI enthusiasts, fostering creativity and innovation. With 147 teams and a remarkable 34 submissions, this event left an indelible mark on all who participated.

Witnessing the zeal and ingenuity of participants as they unveiled groundbreaking projects, pushing AI's frontiers, was awe-inspiring. From advancements in natural language processing to machine learning and deep learning applications, the projects emphasized AI's transformative potential.

The Hackathon demonstrated the thriving passion for AI, as countless individuals continue to explore and innovate with AI technologies. This successful event showcased the brilliant solutions that arise when creativity and passion intertwine, confirming that enthusiasm for AI is on the rise.

But who did best?

Although the projects that were submitted were of the highest caliber, there could only be one winner. One Honored Mention, one Winner, and two Finalists were the results of the fierce competition. In order to determine which project stood out from the others, the judges from Lablab.ai and Cohere examined the projects using a variety of criteria, such as:

• Degree of Completion Presentation Style Applicability
• Business value Degree of Innovation
• Originality Technology
• Realistic Capability Impact – How unique it is Overall Impression

In the end, the project that not only met every requirement but also gave a thorough and compelling presentation to show the potential of the team's concept in a fresh and new way was the one that won.To differentiate itself from the competition, the presentation had to be able to grab the judges' attention and convince them of the importance of the proposal.

And if you want to watch the whole presentation, we got you covered.

First place

Main prize goes to the team Found In Translation, for their project Found in Translation. Read more about the project:

“Our solution is a smart Slack bot that implements multilingual semantic search and sentiment analysis to facilitate multi-language messaging platforms by improving the chat search function. The bot allows users to search using any language for messages in any language. It also contains a sentiment analysis that gives moderators a sentiment report on the messages of specific users or the chat as a whole.”

Congratulations to the team. And we would like to quote Sandra Kublik, as she announced the winning team, which is a perfect summary of it:

“You guys completely smashed today in terms of ... starting with the name, going to your initial branding, your presentation, the idea, the potential for it, the level of completion, the deployment on slack. Oh my god, what can you guys not do?”

Honorable mention

Honorable Mention goes to Team Summit, for their project Summit. Read more about the project:

“Summit helps you search and summarize research papers to quickly get an overview of what the research says, saving you time and effort in your quest for knowledge.”

Congratulations to the team as well, and we totally agree with Sandra:

“Loved your UI, loved your delivery, huge business potential. Please keep working on your project. Congrats to you. I think the world will get so much value out of your application!”

Two finalists

Also during the winner announcement stream you had an opportunity to know more about other to projects to which we would like to shoutout to:

• Podsearch - Podcasts are an excellent source of knowledge. But they can be too long and hard to pay attention to the entire time. What if there is a more intuitive way to search for podcasts and also for info within podcasts? This is where our product comes into play. It is possible to scrape the documentation and build an index for a search engine using our architecture easily.
• SemantoTube - Our application aims to make it easier for users to find and access the information they need within the specified video. By using the Cohere API, we are able to perform advanced semantic searches that go beyond simple keyword matching, allowing users to find content relevant to their query in the specified video. Our application utilizes the Cohere API to locate and highlight the specific transcript within the video that matches their search. This makes it easier for users to quickly find and access the information they need, without having to manually search through the entire video.

Will there be more AI Hackathons to join?

Absolutely! As fervent AI enthusiasts, we're committed to fostering the AI community by delivering unparalleled experiences and assistance. This dedication drives us to host AI Hackathons twice a month, providing access to cutting-edge technologies and invaluable mentor guidance.

We welcome individuals from various backgrounds and expertise levels to partake in our AI Hackathons. Simply enroll, create an AI-powered app in 7 days, and lay the groundwork for your future startup – reshaping human interactions!

Go further with our AI tutorials to dive into the AI revolution!