Dynamic Noise Reduction using Deep Learning

Introduction

Noise pollution is a major issue affecting our health and well-being. Machine learning techniques can be used to reduce noise pollution and improve our quality of life.

How it Works

Step 1

Collect noise data from different sources such as microphones, sensors, and cameras.

Step 2

Analyze the data using machine learning algorithms to identify noise patterns and sources.

Step 3

Use noise reduction techniques such as filtering, sound masking, and noise cancellation to reduce noise pollution.

Wanna See in Real Time

• This is Our Final Year Project in the domain of Signal Processing
• Developed By :
• A.V.Balajee - FullStack
• T.S.Aswin - Backend
• S.Balaji - Data Preprocessing & Analysis
• M.Hariprasath - Data Collection & Testing
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