The latest articles on DEV Community by Paul Ndirangu (@paulndirangu). https://dev.to/paulndirangu https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F1132223%2Fef3612c2-dd51-49c0-8090-acd53bff9aa1.jpeg https://dev.to/paulndirangu en Paul Ndirangu Sun, 24 Nov 2024 16:55:07 +0000 https://dev.to/paulndirangu/medai-real-time-transcription-and-medical-assistant-1ce0 https://dev.to/paulndirangu/medai-real-time-transcription-and-medical-assistant-1ce0 <h2> What I Built </h2> <h3> MedAI: Real-Time Transcription and Medical Assistant </h3> <p>MedAI is a powerful app designed to enhance healthcare workflows by providing real-time medical transcription and contextual assistance. Built with AssemblyAI's Universal-2 Speech-to-Text model, it transcribes medical conversations or dictations with high accuracy and offers instant summaries and action points.</p> <h3> Key features: </h3> <ol> <li>Real-time transcription of patient-doctor interactions.</li> <li>Smart summarization for generating visit notes.</li> <li>Keyword extraction to highlight critical information like symptoms, diagnoses, and medications.</li> <li>Interactive Q&amp;A for contextual understanding of medical terminologies or recommendations.</li> </ol> <h3> Demo </h3> <p>You can access the demo of MedAI <a href="https://gitlab.com/paulmwaura254/assemblyai-speech-to-text" rel="noopener noreferrer">here</a>.</p> <h3> Screenshots: </h3> <p>Real-time Transcription Interface</p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fz7wlug1tr9vkb63uttx1.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fz7wlug1tr9vkb63uttx1.png" alt="Image description" width="800" height="401"></a><br> Summarization and Keyword Extraction Features</p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fa2p38pw3s7l7wnkzth7u.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fa2p38pw3s7l7wnkzth7u.png" alt="Image description" width="800" height="393"></a></p> <p>This is a submission for the AssemblyAI Challenge: Sophisticated Speech-to-Text.</p> <h2> Journey </h2> <p>MedAI leverages AssemblyAI's Universal-2 Speech-to-Text Model to achieve industry-leading accuracy in transcription. This model is ideal for handling diverse accents and technical vocabulary, making it perfect for medical applications.</p> <h3> Additionally, the project integrates: </h3> <ol> <li>AssemblyAI's Sentiment Analysis API to assess the tone of conversations.</li> <li>OpenAI's GPT model to provide dynamic Q&amp;A and context-aware explanations.</li> </ol> <h3> Qualifying for Additional Prompts </h3> <p>This submission qualifies for the additional prompts as it incorporates:</p> <ol> <li>Summarization: MedAI converts lengthy conversations into concise visit notes.</li> <li>Keyword Extraction: The app highlights critical medical terms automatically.</li> <li>Custom Integrations: Combined AssemblyAI’s transcription with an interactive AI assistant for end-to-end workflow support in healthcare.</li> </ol> <h2> <strong>Team</strong> </h2> <p>This submission is an individual effort.</p> <p>Thank you for considering my submission to the AssemblyAI Challenge!</p> devchallenge assemblyaichallenge ai api