Shreyash Pathak

I’m a Bachelor of Technology student in Computer Science and Engineering (AI and ML), driven by turning data into reliable, user-ready products. I focus on AI and cloud learning through hands-on projects, expert sessions, and continuous model iteration.

In my crop disease work, I built a deep learning Streamlit system for real-time leaf image preprocessing and disease classification, reaching 92.07% accuracy on the PlantVillage dataset. I also developed crop recommendation and fertilizer prediction models using soil nutrients (N, P, K), pH, and environmental parameters, integrating everything into one streamlined application.

To broaden my impact, I created an AI-powered travel planning web application that combines weather and air quality data from APIs with tourism trend insights via PyTrends. I’m currently expanding my skills through an AI & Cloud virtual internship where I implemented Azure AI services for image classification and automation, strengthening my problem-solving and cloud deployment mindset.