🗓️ 48 hours of building (24-26th March)
💻 Create innovative new apps with OpenAI's latest ChatGPT and Whisper APIs
💡 Learn from top AI professionals
⚒️ Combine new GPT 3,5 Turbo and Whisper APIs to build your AI app
🐱‍💻 Now is the time to register and let's get started!

ChatGPT API & Whisper API Global Hackathon

🔥 7 days Hackathon
🦾 The first Stable Diffusion XL hackathon
✨ Even more models available! Use GPT-4, ChatGPT, Whisper, Cohere and AI21 and more!
🛠️ Incorporate Stable Diffusion 2.0 and Vercel software to your projects
🚀 Create your complete product MVP
🤝 Find co-founders and mentors on the lablab.ai platform

Stable Diffusion 2.0 AI Hackathon

No-rank

Apprentice

ritvikux

We are going to build AI helper for interviewers!

Nathnenne

bogovs

Rainay

When you're interviewing, it's important to focus on the process and listen carefully to the interviewee and get into the process. But when you're constantly distracted by taking notes and looking at a list of questions, you lose your effectiveness and maybe forget to ask something. Our app is designed to save the interviewer from unnecessary activities and help him or her focus on what's important. Now the interviewer can take notes and try to write down the interview, because our app will do it for him. It will also review the entire resume and answer specific queries. This is just the basic functionality we managed to implement in 48 hours. In the future, the app can work in real time, toss questions and give hints, also will save the processed interviews

Project helpes interviewers save time and work effectivly 

Interview assistant

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

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.

Ritvik Gupta@ritvikux

Events attended

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🤝 Top Collabolators

Bogdan Ovs

Rania MD

🤓 Submissions

Interview assistant

👌 Attended Hackathons

ChatGPT API & Whisper API Global Hackathon

Stable Diffusion 2.0 AI Hackathon

📝 Certificates

ChatGPT API & Whisper API Global Hackathon | Certificate