Saira Ishaq@SairaIshaq

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I’m Sana, a frontend developer with over 3 years of experience and a strong passion for Artificial Intelligence. I’m excited to dive into AI challenges, learn new skills, and explore innovative solutions. I’m eager to grow, collaborate, and make a difference in the world of AI.

Asad Ullah Khan

Passionate Software Engineer with a strong foundation in Full-Stack Development, AI, and Machine Learning. I’ve built real-time apps during hackathons, contributed to open-source, and mentored fellow developers. Trained at Aptech & iCodeGuru, I focus on solving real-world problems through innovative tech solutions. Always exploring, building, and growing. 🚀

🤓 Latest Submissions

Voice Emotion Detection TOOL

This Flutter-based project is an AI-powered Voice Emotion Detection system that classifies human emotions from voice inputs using deep learning. Users can upload or record audio through an integrated Gradio web interface. The app extracts Mel-Frequency Cepstral Coefficients (MFCCs) using the librosa library to capture key features of the voice signal. These features are processed by a pre-trained Multilayer Perceptron (MLP) model built with TensorFlow/Keras, which identifies emotions like happy, sad, angry, and neutral. The predicted emotion is displayed in real-time within the Flutter UI. This app can be used in virtual assistants, customer support, mental health tracking, and interactive systems.

Hackathon link

1 May 2025

📝 Certificates

/execute: AI Genesis | Certificate

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