• Ansari Fatima Anees
• Shaikh Bilal Ahmed M Akram
• Shaikh Aquib Iqbal
• Shaikh Kamran Asif
• Shaikh Mohammed Mohsin Yaqoob

An automated system is proposed in this research for recommending music and movies based on facial expressions, eliminating the need for manual methods and wearables. By utilizing a convolutional neural network and Python libraries, our approach minimizes computational time and costs, surpassing existing algorithms. Through the analysis of an 8025-image dataset captured by an internal camera, emotions such as happiness, sadness, disgust, and neutrality are identified for the creation of dynamic playlists. The system enhances the user experience and shows potential for practical applications. Ethical considerations ensure responsible handling of data

Convolutional neural network (CNN), emotion detection, Feature Extraction, Classification

"Emotion Detection Based Music and Movie Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.i413-i418, April-2024, Available :http://www.jetir.org/papers/JETIR2404854.pdf

"Emotion Detection Based Music and Movie Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppi413-i418, April-2024, Available at : http://www.jetir.org/papers/JETIR2404854.pdf