Attended the Graphics and Vision Summer School at the Indian Institute of Technology, Delhi — an intensive program covering the mathematical foundations and practical applications of computer vision, machine learning, and computer graphics.

Curriculum

The program covered three core areas:

Image Processing & Computer Vision — Image filtering, edge detection, feature extraction pipelines, camera geometry, homography, multi-view reconstruction, and object detection using Convolutional Neural Networks.

Machine Learning — Classification and regression with deep learning frameworks, training pipelines, data augmentation strategies, evaluation methodology, and transfer learning with pre-trained architectures.

Computer Graphics & Rendering — Ray-tracing algorithms for photorealistic rendering, 3D scene representation, transformation mathematics, and shader programming fundamentals.

Hands-On Project

Built a multi-image house price prediction model that combines visual feature analysis (extracted from property images via CNNs) with structured metadata using regression algorithms — a practical application bridging computer vision with real-world prediction tasks.

Stack

Python · PyTorch · OpenCV · NumPy · Matplotlib