Published:
Achieved 1st place at ACM MUJ Sigfest Datathon among 1,000 participants and 300 teams.
Developed a robust classification model for diagnosing kidney disease, achieving 98.06% accuracy on 12,446 images.
Conducted comparative analysis with deep learning models like VGG-16 and AlexNet.
Published:
Built a simple chatbot using HuggingFace Transformers and Blenderbot 400M Distill.
Integrated with Gradio and deployed on HuggingFace Spaces for interactive use.
Live demo: https://huggingface.co/spaces/itsishan/simple-chatbot
Published:
Developed a modular, containerized web app using FastAPI, Streamlit, and Docker.
Calculates and visualizes Black-Scholes option prices and Greeks with a clean, user-friendly UI.
GitHub repository: https://github.com/ishansmishra/black-scholes-options-pricing