At Oasis Infobyte, I developed and maintained responsive web interfaces using HTML5, CSS3, and JavaScript. I also collaborated with the development team to troubleshoot front-end issues and improve web performance and cross-browser compatibility.
For my Deep Learning Technique for Image Forgery Detection project, I implemented a Convolutional Neural Network to identify manipulated images. I used Python, NumPy, and Matplotlib to process image datasets and evaluate model performance.
I also developed an Image Caption Generator using a CNN-LSTM architecture and the Flickr8k dataset. The project combined deep learning with natural language processing techniques such as tokenization and word embeddings.
