Abstract: ELARA is a lightweight outfit recommendation system that combines explainable styling rules with basic image processing. It creates embeddings from clothing images using MobileNetV2 and compares them to fashion datasets using cosine similarity to determine the type of item. ELARA creates rule-based outfit recommendations based on this match to actual styling principles. Additionally, users can search datasets for suggestions. To determine appropriate and inappropriate color schemes, the system incorporates a webcam-based color analysis tool and a fashion chatbot. All things considered, ELARA provides a quick, convenient and easy-to-use solution for daily fashion advice.
Keywords: MobileNetV2, Image embeddings, Cosine similarity, Chatbot.
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DOI:
10.17148/IJARCCE.2026.15111
[1] Mrs. Bhagyashri K Kulkarni, Anagha S, Avinash Nayak M, Diya Ajith Kasbekar, Likitha R, "LIGHTWEIGHT IMAGE BASED FASHION RECOMMENDER," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15111
