Speed Vision (ANPR System - Computer Vision, OpenCV, Python)

Design a desktop application that processes video streams to detect vehicles, identify and recognize number plates using Optical Character Recognition (OCR), and estimate vehicle speed. Additionally, provide a feature to detect vehicle color for bonus points.

Bill Wizard (Bill Amount Detection - OCR, Python, Tesseract)

Create a desktop application that captures video input (from a webcam or pre-recorded video) to detect the total bill amount from invoices and categorize the invoices based on their content. The system should use Optical Character Recognition (OCR) to extract text and employ machine learning to categorize the invoice.

Label Master (Data Labeller - AI, Python)

Develop a desktop application that allows users to label and annotate images with the help of an AI model. The application should automate the process using pre-trained object detection models while giving users the ability to manually adjust bounding boxes and labels. The goal is to speed up the annotation process with minimal user input, without sacrificing accuracy or control.

ShapeShifter (Polygonal Annotation Tool - UI/UX, Figma, Adobe XD)

Design a polygonal annotation tool that simplifies the process of labeling objects within images and videos. The challenge is to create a user interface (UI) that is intuitive, allowing users to create and edit polygonal shapes with minimal effort. This tool should work across multiple devices, from desktops to tablets.

Twin It (Virtual Doppelgänger - VFX, Unreal Engine, Blender)

Create a hyper-realistic virtual doppelgänger of a real person. The doppelgänger should convincingly mimic the person’s facial expressions, body movements, and emotions. This character will be integrated into a cinematic scene where it interacts with the environment.