Shyam S

Motivated engineering professional with a strong foundation in academic knowledge and practical application. Proven ability to contribute to innovative projects in collaborative environments. Committed to leveraging skills to drive results and enhance team performance in competitive settings.

• AGROPREDICT : Explainable AI for optimized crop and fertilizer recommendation using Machine Learning. Project aims to develop an intelligent crop and fertilizer recommendation system that analyzes soil nutrients and environmental factors using machine learning, while integrating Explainable AI(XAI) technique namely LIME for better recommendations.
• Flying Object Detection- Developed a deep learning-based Flying Object Detection system to address the challenges of detecting small, fast-moving aerial objects such as UAVs in diverse environmental conditions.
• Crop Prediction- Developed a Crop Recommendation System leveraging data science and machine learning to assist farmers in selecting the most suitable crops based on factors such as soil properties and weather patterns. Designed to enhance productivity and sustainability, the system provides data-driven recommendations that optimize resource usage, reduce the risk of crop failure, and promote efficient use of water and fertilizers. This project aimed to improve agricultural yields, support sustainable farming practices, and contribute to food security while enhancing the economic well-being of farming communities.

• Internship in Web Development with Codsoft
• Project Certification - ICOATES 2025

• Leadership and Team management
• Decision making
• Communication
• Multi tasking