🎙️ Project Title:

🔍 "Automatic Speech Emotion Recognition Using Deep Learning"

📌 Project Description:

This project develops an AI-powered Speech Emotion Recognition (SER) system that classifies human emotions like happy, sad, angry, neutral, etc., using voice recordings. The model leverages CNN + LSTM architectures to extract meaningful features from audio spectrograms and classify emotions with high accuracy.

✅ Key Phases of the Project:

  • ✔ Data Preprocessing – Extracting MFCC, Mel Spectrogram, and Chroma features from audio files.
  • ✔ Model Training & Evaluation – Using CNN + Bi-LSTM hybrid models for time-series audio classification.
  • ✔ Deployment – Integrating the model with a real-time audio processing web app using Flask or FastAPI.

📂 Project Deliverables:

  • ✅ 📊 Professional PPT – A structured presentation with technical explanations.
  • ✅ 📁 Dataset & Source Code – Preprocessed audio dataset and deep learning model code.

💰 Project Price: ₹9000/-

A cutting-edge AI project with real-world industry applications. 🚀

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