The recent news that I achieved a Distinction in my Grade 8 Trinity College London piano practical exam felt like a quiet affirmation. It wasn’t a sudden burst of glory, but rather a gentle nod to the countless hours spent at the piano, the patient unraveling of complex pieces, and the steady, often imperceptible, progress made along the way. While the certificate is a welcome acknowledgment, what truly resonates are the deeper lessons learned through the long journey with t

Have you ever wondered how AI-powered scanners can look at messy handwriting and instantly convert it into clean, editable text? What if you could build one yourself — a system that not only reads handwritten digits but also recognizes full alphabets? That’s exactly what I set out to do for this project — building a deep learning-powered OCR system from scratch, trained on the MNIST and EMNIST datasets. WHY HANDWRITTEN CHARACTER RECOGNITION? Handwritten OCR is one of the o

Have you ever wondered how AI-powered apps can look at an image and instantly tell you what’s in it? What if you could build one yourself — an app that not only identifies objects but also helps you find where to buy them online? WHY REAL-TIME OBJECT DETECTION? Object detection has come a long way, but most demos you see online are static — upload an image, wait, get results. What if you could make it fluid and interactive, identifying objects as they move and change in fron