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P. Suryavanshi

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Open access Sep 2026

Emotion Based Music Player: An Application of Machine Learning

This work presents an Emotion-Based Music Player that integrates a Convolutional Neural Network (CNN) for facial emotion recognition with a rule-based music recommendation engine. The model is trained on a custom subset of the FER-2013 dataset, with face detection performed using the OpenCV Haar Cascade classifier and...

P. Suryavanshi, Anish Pathak · 0 citations
Open access Sep 2026

Machine Learning-Based Network Intrusion Detection System: A Dual-Pipeline Approach with Explainable AI and Multi-Model Integration

Traditional Network Intrusion Detection Systems (NIDS) usually have high false-positive rates, low interpretability, and inefficiency in detecting offensive attack patterns in real-time. This paper will describe a dual-pipeline NID architecture which combines ensemble machine learning and hybrid deep learning models to...

Namash Kate, P. Suryavanshi, Mayank Patil · 0 citations
Open access Sep 2026

Harnessing Artificial Intelligence in Modern Agriculture: Advancements in Smart Farming and Precision Technologies

 AgriSaarthi combines MobileNetV2 powered leaf disease detection and granite-3-8b-instruct RAG advisory, with test-set accuracy (weighted F1: 0.948) of 38 disease classes in the New Plant Diseases Dataset (87,000 images, 26 crops). The system obtains per-class F1 of over 0.97 on tomato (9 diseases such as late blight,...

P. Suryavanshi, Namash Kate, Mayank Patil · 0 citations

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