🗓️ 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
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ChatGPT API & Whisper API Global Hackathon

No-rank

Apprentice

Sir_AnDRE

We're hungry for innovation and ready to gobble up the competition.

Pac-Man

codestefax

Taha_Abdullah

Rade123

IqraAkhtar

Ashi

Deaf and hard-of-hearing individuals face a multitude of challenges in their daily lives, with one of the biggest being the difficulty in communicating with hearing individuals who do not understand sign language. This communication barrier can lead to social isolation, limited access to education and employment opportunities, and a lack of participation in various social activities. Our project aims to address this challenge by developing a real-time speech-to-sign language translation solution that can bridge the communication gap between the deaf and hard-of-hearing and the hearing individuals. This solution has the potential to enhance accessibility and inclusivity for the deaf and hard-of-hearing community and improve their quality of life.

This project aims to break down language barriers and empower the deaf and hard-of-hearing community. Leveraging the power of OpenAI and Whisper, we are developing an innovative solution that can translate speech into sign language in real-time.

Translating Voices to Signs

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.

Andrew Gabriel@Sir_AnDRE

Events attended

Submissions made

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🤝 Top Collabolators

Stefan Pejinović

Taha Abdullah

Rade Pejanović

Iqra Akhtar

🤓 Submissions

Translating Voices to Signs

👌 Attended Hackathons

ChatGPT API & Whisper API Global Hackathon

📝 Certificates

ChatGPT API & Whisper API Global Hackathon | Certificate