Updated README.md

README.md

@@ -1,13 +1,35 @@
----
-title: VoiceAccess
-emoji: 🐢
-colorFrom: pink
-colorTo: blue
-sdk: gradio
-sdk_version: 5.12.0
-app_file: app.py
-pinned: false
-short_description: A voice access control model Adati
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Voice Access Control System
+
+This is a deep learning-based voice access control system that can verify whether a person should be granted access based on their voice recording.
+
+## Description
+
+The system uses a convolutional neural network to analyze mel spectrograms of voice recordings and determine if the speaker is authorized. It processes audio input through several steps:
+
+1. Audio preprocessing (resampling, normalization)
+2. Mel spectrogram generation
+3. Deep learning model analysis
+4. Access decision with confidence score
+
+## Usage
+
+1. Click the audio input button or drag and drop an audio file
+2. Wait for the system to process the recording
+3. View the access result and confidence score
+
+## Technical Details
+
+- Model: Custom CNN architecture (VoiceAccessNet)
+- Input: Audio files (WAV, MP3)
+- Audio processing: 16kHz sample rate, mel spectrogram features
+- Output: Binary classification (Access Granted/Denied) with confidence score
+
+## References
+
+- Model training code and dataset details: [Link to your repository]
+- Based on PyTorch and torchaudio
+- Deployed using Gradio and Hugging Face Spaces
+
+## License
+
+[Your chosen license]