Hi, I'm Abhinandan Bakshi

Designed and implemented an edge-enabled IoT sensing and analytics framework for precision agriculture using UAV technology. Applied multiple ML algorithms including CNN, SVM, KNN, and Neural Networks for aerial image processing and feature extraction, achieving high accuracy through rigorous testing and optimization.

Built a fully responsive news aggregation website with real-time updates and personalized feeds. Implemented secure user authentication using JWT, integrated third-party news APIs, and optimized performance through code-splitting and lazy loading for fast load times.

Implemented a CNN-based image segmentation model using TensorFlow and Keras on the Tiny ImageNet dataset. Applied advanced data augmentation techniques and hyperparameter tuning to enhance model performance, generalization, and accuracy in object segmentation tasks.