🗓️ This will be a 5-days of hacking and fun from 10-14 March
💻 Build with the latest AI tools to create innovative new apps and solutions
💡 Work with top AI professionals and learn from them
⚒️ Create your AI app by combining different generative AI models
🎟️ 100 Free tickets to salz21 conference in Salzburg Austria - get them below
✅ Register now and let's get started!

Salz21 AI Hackathon

🗓️ Take part in this 7-day virtual hackathon from March 10 to March 17!
💻 Create AI applications utilizing Cohere's LLM-powered Multilingual Text Understanding model and Qdrant's vector search engine.
✔️ Are you new to AI or an experienced data scientist? Designer, or business developer? Regardless of your experience and background, we welcome you and value your domain expertise.
🐱‍💻 Join us for free and let's get started!

Cohere and Qdrant Multilingual Semantic Search Hackathon

No-rank

Apprentice

NITHYARUBAN

group of freaky engineers looking to innovate, create and rock the world.

MAVERICKS

Rahat Nadeem

GeoffreyLazer

Kesavardhan

cyrilmartin-14

rooban_joe

Shinyonaika, gamifies Cognitive Behaivioural Therapy into Storylines using Whisper + Cohere API to process User Emotion based on input given by user. It uses Unity for Game Development, C# for Scripting and powerful AI Models like Whisper+Cohere.
CBT has 3 Steps:
1.Identify Negative Emotions
2.Identify Triggering Situations
4.Reshaping Negative Emotion
It's goals are: 
Mental Health Awareness
Making CBT Interactive and Graphical
Self Therapy
The product is new and has no competion.
It can be made available to all Users, since, it uses technology that is common in the market.
Note: Psychotherapists were consulted during development.

Have you seen Self Therapy apps that provide therapy in boring text with no Interaction?
Well, no more. Shinyonaika, is a self therapy app that gamifies the Therapy using Game Development and Neural Networks.

Shinyonaika

group of freaky engineers looking to innovate, create and rock the world

GPT-3 stands for Generative Pre-trained Transformer 3 and it is an autoregressive language model that uses deep learning to produce human-like text. It is the third-generation language prediction model in the GPT-n series created by OpenAI. GPT-3 is currently in open beta.

GPT-3

OpenAI Codex is an artificial intelligence platform that enables developers to translate natural language into code. 

Codex

DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language.

DALL-E-2

One of the best AI labs in the world. By using the Cohere platform we are able to use one of the best and most powerful language models for our own! There are many tutorials, including our own one, that show how to use Cohere.

Cohere

AI21 Labs is a platform for building AI applications. It provides a suite of tools and guides for building AI applications and training models. AI21 Labs helps developers and businesses use cutting-edge language models, with no NLP expertise required. Access powerful language models using an API that makes you smile

AI21 Labs

Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.

Whisper

YOLOv7 is the new state-of-the-art object detector in the YOLO family. According to the paper, it is the  most accurate and fastest real-time object detection to date.

YOLOv7

ChatGPT is a large language model trained by OpenAI to generate human-like text in a conversational style. It is a variant of the GPT-3 model, which was specifically designed to be used to generate text in response to user input. The ChatGPT model has been trained on a vast amount of text data, including conversations and other types of human-generated text, which allows it to generate text that is similar in style and content to human conversation. ChatGPT can be used to generate responses to questions, code, make suggestions, or provide information in a conversational manner, and it is able to do so in a way that is often indistinguishable from human-generated text. The initial model has been trained using Reinforcement Learning from Human Feedback (RLHF), using methods similar to InstructGPT, but with slight differences in the data collection setup. The model is trained using supervised fine-tuning, where human AI trainers provided conversations in which they played both sides—the user and an AI assistant. The trainers would have had access to model-written suggestions to help them compose their responses.

Nithyaruban Nedunchezhian@nithyaruban671

Events attended

Submissions made

I built with

Socials

🤝 Top Collabolators

Rahat Nadeem

Geoffrey Lazer

kesavardhan s

Cyril Martin

🤓 Submissions

Shinyonaika

👌 Attended Hackathons

Salz21 AI Hackathon

Cohere and Qdrant Multilingual Semantic Search Hackathon

📝 Certificates

Salz21 AI Hackathon | Certificate