Hi, I'm Sreevarsan

Built a responsive web application using React and Next.js to manage personal finances efficiently. Integrated Firebase for user authentication, real-time Firestore for transaction data, and charting libraries for visual analytics. Enabled users to add, edit, and categorize transactions, view monthly insights, and track savings. Designed with a mobile-first approach and intuitive UI/UX for daily usability.

Developed a robust Django web application for detecting deepfakes in video content. Utilized advanced deep learning architectures such as ResNext and LSTM to process and analyze temporal frame sequences. Integrated model inference into the web backend and containerized the entire solution with Docker. Enhanced detection precision through model fine-tuning and dataset preprocessing techniques. Built a clean interface for uploading and evaluating videos.

Engineered an image generation tool using Stable Diffusion models integrated with Hugging Face APIs. The application supports prompt-based image generation and showcases advanced configuration options to fine-tune image output. Built using Tkinter for GUI interface, allowing real-time generation previews and easy user interaction. Focused on aesthetic control and efficiency, ideal for concept art and creative design tasks.