Practical guides, research, and reflections on Artificial Intelligence and its real-world uses.
My journey of building AI projects that move beyond experiments — solving real problems in healthcare, media, agriculture, and human expression. From LLMs to computer vision, here’s how code became impact.
MedInstructAI is an intelligent assistant that reads, explains, and translates medical reports into simple language with multilingual voice support. Designed for rural and low-resource settings, it bridges the healthcare communication gap using AI.
AI News Anchor is a fully automated pipeline that fetches real news, writes anchor-style scripts, generates AI avatars, and produces broadcast-ready videos without human input.
A step-by-step technical blueprint for building domain-specific AI products with Transformers, covering dataset preparation, embeddings, architecture, training, and generation techniques.
A complete real-time object detection system using YOLOv8, capable of detecting objects in images, videos, and live webcam feeds with lightning speed.
A high-accuracy hybrid deep learning model combining ResNet-50v2 and a custom classifier to detect and classify rice leaf diseases with 99.53% accuracy, supporting smart agriculture and early crop protection.
A lightweight NLP project that uses the VADER sentiment analysis model to classify text into positive, negative, or neutral sentiment, with real-world applications in customer feedback and social media monitoring.