
Striving for a role that allows me to leverage my skills, foster professional development, promote innovation, and maintain flexibility.
Smart Farming: Rice Plant Water Management using ResNet
I am proud to have developed an innovative solution for smart farming, specifically designed to distinguish between overwatered and underwatered rice plant conditions. By utilizing ResNet, a Convolutional Neural Network (CNN) architecture, I analyzed a rice plant dataset images, enabling farmers to take prompt interventions. This approach significantly improves crop health and yield through optimal water management.
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Bus Ticketing System: A Comprehensive Online Solution
I have also constructed a robust online Bus Ticketing System using HTML, CSS, JavaScript, and React. This system offers essential functionalities, including Sign Up/Sign In, seat booking, and a secure payment gateway. I ensured efficient back-end operations by utilizing MongoDB and AWS, guaranteeing seamless data management and system performance.
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Handwritten Text Recognition System: Neural Network-based HTR
I have created an efficient Handwritten Text Recognition (HTR) system using a compact Neural Network. This HTR system is trained on IAM dataset word-images using TensorFlow, offering CPU training and GPU acceleration. The system delivers performance comparable to full-text search on machine-readable documents.
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