An AI/ML enthusiast transforming ideas into intelligent solutions. Explore my projects, learn from my insights, or collaborate to create impactful technology.
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I am a dedicated Machine Learning practitioner with a solid foundation in data science, statistical modeling, and algorithm development. My focus lies in designing intelligent systems that solve real-world problems using data-driven approaches. Proficient in Python, TensorFlow, and scikit-learn, I specialize in transforming complex datasets into actionable insights. I am especially interested in building scalable, ethical, and high-impact AI solutions that drive meaningful outcomes.
This system enables efficient and contactless attendance tracking through real-time face detection. It includes student enrollment with face capture, automated attendance marking, and a dashboard for managing records, filtering data by date, and exporting reports.
Developed a Convolutional Neural Network (CNN) model to classify plant diseases in corn, potato, and tomato using deep learning. The model was trained with structured preprocessing, achieving high accuracy in detecting Common Rust, Early Blight, and Bacterial Spot.
Explore how deep learning with CNNs and VGG16 enables brain tumor detection from MRI scans. Learn about preprocessing, transfer learning, fine-tuning, and model evaluation using accuracy, precision, recall, and AUC-ROC, achieving 92% accuracy.
A DCGAN built with Keras and TensorFlow to generate 64×64 anime faces. It uses a generator to create images from noise and a discriminator to distinguish real from fake, trained adversarially with binary cross-entropy and Adam optimizer.
This portfolio website is proudly verified by Google AdSense, reflecting its high-quality content, user-friendly design, and compliance with industry standards for monetization.
Leveraging ML-driven content strategies, such as NLP for SEO optimization, this site attracts a global audience of researchers, professionals, and enthusiasts.
This portfolio proudly features a publication on scalable ML algorithms, recognized for advancing efficient model training.
My research optimizes computational resources, contributing to cutting-edge advancements in machine learning. See my research projects for more details.
Our success is when our customers get the chance to exceed their expectations. Check out the latest success stories.
When I first got the request to create ID cards for a school, I didn’t think much of it.It sounded straightforward: design a template, fill in the names, add photos, export, done. But then the school shared the number of...
Case Study
Generative Adversarial Networks (GANs) have revolutionized image synthesis. In this post, we walk through the implementation of a Deep Convolutional GAN (DCGAN) using Keras and TensorFlow, trained to generate 64×64 anime-style faces. Dataset Preparation The dataset consists of preprocessed anime...
Case StudyCheck our latest post and blogs
Decision trees are a fundamental building block in machine learning, particularly in the...
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Random Forest is a versatile and robust machine learning algorithm that belongs to...
Read MoreGradient Boosting and Random Forest are two powerful ensemble learning techniques that have...
Read MoreGet in touch with me today and discover how we can transform your business.
