Contextify
Turning Conversations into Clarity
Turning Conversations into Clarity
• The app takes real-time voice input from the user.
• The spoken sentences are processed and transcribed into text.
• The transcription appears on the right-hand panel
• The app uses advanced NLP algorithms to analyze text or speech in real-time, identifying: technical jargon or trending topics.
• For each extracted term, the app dynamically retrieves and displays: short explanations of complex terms or supplemental information on related news.
University of California, Santa Barbara
Role: Front-End Designer and Back-End Tester
Led the design and aesthetic enhancement of the app's front end, ensuring a user-friendly and visually appealing interface. Collaborated on back-end testing to identify and resolve transcription issues, improving overall functionality and reliability.
University of California, Santa Barbara
Role: Back-End Developer and Web Designer
Implemented various APIs to power app functionality and ensure integration. Designed and deployed the project's website, including securing customized domain name. Additionally, contributed to project documentation and summarization for clarity and presentation.
University of California, Santa Barbara
Role: Back-End Engineer and Graphic Designer
Played a critical role in designing and testing all API functions, ensuring back-end processes ran efficiently and without errors. Designed the app’s logo, encapsulating its brand identity, and provided valuable insights for refining the website design.