AI-Powered Interview Automation For Mekong Delta Farmers

Our project is a mobile application designed to assist students and professionals in preparing for interviews through audio-based self-assessments. The core idea is to simulate a real interview experience where users respond to pre-defined question sets using voice recordings. The app leverages speech-to-text technology powered by ElevenLabs to transcribe the audio into text and uses AI to generate summaries and recommendations based on the user's responses.

Users can log in to the app, view available question sets, and record their answers directly within the app. Once a recording is uploaded, it is stored in AWS S3 and sent to ElevenLabs for transcription. The transcript, along with AI-generated summaries and recommendations, is saved in MongoDB and displayed to the user for review. Each recording is associated with a specific question set and user email, ensuring personalized and organized feedback.

The app is built using Jetpack Compose for the UI, Node.js + Express for the backend API, and MongoDB as the database. It also integrates secure authentication and cloud storage. This project provides a comprehensive tool for users to reflect on their spoken answers, identify areas of improvement, and gain confidence for real-world interviews.