Manvith Kumar

Experience

1. Undergraduate Researcher Deep Learning & Computer Vision

   Sahyadri College Of Engineering & Management

   Oct 2025 — Present

   Developing a research manuscript on a multimodal deep learning framework for automated arecanut quality evaluation. The study focuses on systematic feature fusion across complementary imaging modalities to enhance classification accuracy and reliability. The proposed model achieves 99.70% accuracy under controlled experimental conditions.To improve adaptability across diverse data sources, cross-domain alignment strategies are incorporated to handle heterogeneous distributions effectively. A customized preprocessing pipeline was designed to minimize input variability and ensure consistent feature representation. Extensive validation experiments are being conducted to evaluate model robustness, stability, and generalization performance.Comprehensive ablation studies were performed to examine the impact of MixUp augmentation and dynamic fusion gating, demonstrating their contribution to improved predictive performance and model consistency.

Education

• St. Aloysius (Deemed to be University)

  12th, Computer Science

• Sahyadri College of Engineering & Management

  Bachelor of Engineering - BE, Computer Science and Engineering (Artificial Intelligence and Machine Learning)