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README.md

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+
+# English Accent Detection Tool
+
+## Project Overview
+
+This tool is a working proof-of-concept designed to evaluate spoken English in candidate video submissions. It automatically extracts audio from a public video or uploaded file, identifies whether the language spoken is English, and classifies the English accent (e.g., American, British, Australian). A confidence score is also provided to aid in candidate screening.
+
+This submission was developed as part of the REM Waste hiring challenge, with emphasis on practicality, technical clarity, and clean design.
+
+---
+
+## Features
+
+* Accepts public video URLs (e.g., Loom, MP4 links) or uploaded video/audio files.
+* Extracts audio using `ffmpeg`.
+* Detects the spoken language using `SpeechBrain`'s language identification model.
+* If English is detected, simulates classification into common English accents.
+* Outputs include:
+
+  * Accent classification
+  * Confidence score (0–100%)
+  * Brief summary
+
+---
+
+## Live Demo
+
+Deployed Streamlit app (hosted on Streamlit Cloud):
+
+**\[Live App URL – Insert Link Here]**
+
+---
+
+## Technology Stack
+
+* **Python 3**
+* **Streamlit** for the web interface
+* **SpeechBrain** for spoken language identification
+* **Torchaudio** for audio preprocessing
+* **FFMPEG** for audio extraction
+* **Requests, Matplotlib** for I/O and optional output handling
+
+---
+
+## How It Works
+
+1. The user inputs a video URL or uploads a file.
+2. The audio is extracted and resampled to a suitable format.
+3. The system determines whether the speaker is using English.
+4. If English is detected, the tool classifies the accent based on common linguistic traits.
+5. The result includes:
+
+   * Accent label (e.g., British)
+   * Confidence score
+   * Explanation or notes
+
+---
+
+## Local Setup Instructions
+
+1. Clone the repository:
+
+   ```bash
+   git clone https://github.com/yourusername/english-accent-detector.git
+   cd english-accent-detector
+   ```
+
+2. Install dependencies:
+
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+3. Launch the app:
+
+   ```bash
+   streamlit run app.py
+   ```
+
+---
+
+## Requirements
+
+```
+streamlit
+torch
+torchaudio
+speechbrain
+ffmpeg-python
+requests
+matplotlib
+```
+
+---
+
+## Notes
+
+* Accent classification is simulated based on common accent features, due to the lack of an open-source, fine-grained English accent classifier.
+* The core English language detection is handled by a pre-trained SpeechBrain model.
+* This project was developed as a rapid prototype within the recommended 4–6 hour window and can be expanded into a production-grade system with access to more detailed accent datasets and APIs.
+
+---
+
+## Author
+
+Developed by Edgar Muyale 
+For inquiries: edgarmuyale@gmail.com
+Submission for REM Waste Hiring Challenge
+
+
 ---
 title: REM_WASTE_INTERVIEW
 emoji: 🎤
 colorFrom: indigo
 colorTo: red
 sdk: streamlit
-sdk_version: 1.31.1
+sdk_version: 1.45.1
 app_file: app.py
 pinned: false
 ---