Alaina Parr@alainaparr392

Our product takes in a job description and helps prepare a user for a job interview. The model uses the job description searches through a database to find the most relevant documents to give chatGPT context. Then it provides them interview questions. After the interview, which uses the Whisper API to transcribe the user's voice response to the interview question, the model provides feedback by looking using the question and the user's response to find relevant documents to give ChatGPT context on what makes a good answer. After the user has completed all interview questions. They are given overall feedback, and a final score on their performance.

🗓️ 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!

🗓️ This will be a week of hacking and fun from 24 February to 3 March 💻 Create innovative new apps with OpenAI's latest AI tools 💡 Learn from top AI professionals ⚒️ Combine GPT-3, Codex, Dalle-2, and Whisper to build your AI app 🐱‍💻 Now is the time to register and let's get started!