Kluster

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AI/ML

Realtime Translation of Voice Calls

Summary

Embark on a journey to break language barriers. Create a real-time voice translation app that connects people across the globe, enabling them to converse in their native languages effortlessly and expanding the horizons of communication.

Requirements

Utilize WebRTC or similar technologies for seamless voice communication.
Prioritize minimal translation latency to maintain a natural conversation flow.
Include support for local dialects and idiomatic expressions.
Ensure translation accuracy and context preservation.

Submission Guidelines

Figma (Optional): Provide a link to your Figma design / prototype for your project.
GitHub Repository: Provide the link to your GitHub repository containing all the relevant source code and project files.
Deployed Link: Share the link to the deployed version of your project. For web applications, consider hosting on platforms like Netlify or Heroku. If it's a mobile app, upload the APK to Google Drive and provide a public link.
Walkthrough/Presentation: Create a concise 2 to 5-minute maximum screen recording. Walk through key features, functionalities, and any unique aspects of your project. Clearly articulate how users can interact with and benefit from your solution. Ensure your presentation covers essential details without exceeding the time limit.

Access Free OpenAI API Keys!

Limited OpenAI API keys available at no cost for your hackathon project. Reach out here with your use case, and get keys for Speech-to-Text, Chat Completions, Embeddings, and more. Keys deleted post-hackathon.

Explore Models

You have the freedom to explore a wide range of models for your project. Not limited to the following options:

Additional Resources

Take your project further with these valuable resources:

Suggested Approach

Day 1 - 2: Planning and Infrastructure Setup

Product Management & AI/ ML Specialists:

Define project scope, focusing on key languages and dialects.
Research and select AI models suitable for real-time translation and dialect recognition.

Backend Development:

Set up server infrastructure and integrate WebRTC or similar technology for voice communication.
Begin developing the core translation engine.

Frontend Development:

Design a user-friendly interface for the voice translation app.
Implement voice capture and playback functionalities.

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Day 3 - 4: AI Integration and Feature Development

AI/ ML & Data Science Specialists:

Integrate AI models for real-time translation.
Work on minimizing translation latency and enhancing accuracy

Frontend & Backend Development:

Ensure smooth integration between the frontend interface and the translation backend.
Develop features for handling different dialects and idiomatic expressions.

Product Design:

Refine the app design based on user interaction flow and feedback from the team.

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Day 5: Testing, Refinement, & Presentation

All Team Members:

Conduct extensive testing to ensure translation accuracy and low latency.
Refine the user interface and troubleshoot any technical issues.
Prepare a presentation demonstrating the app's capabilities, focusing on its potential to bridge language barriers.

Embark on a journey to break language barriers. Create a real-time voice translation app that connects people across the globe, enabling them to converse in their native languages effortlessly and expanding the horizons of communication.

Access Free OpenAI API Keys!

Explore Models

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Additional Resources

Day 1 - 2: Planning and Infrastructure Setup

Product Management & AI/ ML Specialists:

Backend Development:

Frontend Development:

Day 3 - 4: AI Integration and Feature Development

AI/ ML & Data Science Specialists:

Frontend & Backend Development:

Product Design:

Day 5: Testing, Refinement, & Presentation

All Team Members:

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