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Adnaan Addu  • Peerlist

Deep learning is a subset of machine learning that uses neural networks to learn from data. It's inspired by the structure and function of the human brain and is capable of automatically learning complex patterns and features from large datasets. Deep learning has revolutionized fields like image recognition, natural language processing, and autonomous driving by enabling machines to make sense of vast amounts of information.

Deep-Learning-algorithms

Finger-Based AI Fruit Ninja using Computer Vision is an interactive computer vision game inspired by Fruit Ninja, where players slice virtual fruits using real-time finger movements instead of touch or mouse controls. Built with Python, OpenCV, and MediaPipe, the system tracks hand and finger positions through a webcam and detects slicing gestures accurately. Fruits appear dynamically on the screen, and when the user’s finger crosses them, they are sliced with visual effects and score updates. The project demonstrates real-time hand tracking, gesture recognition, and game logic integration, highlighting practical applications of AI and computer vision in gaming, human–computer interaction, and touchless control systems.

Finger-Based-AI-Fruit-Ninja-using-Computer-Vi

Smart Object-Based Recipe Recommender is an AI-powered application that suggests recipes based on food items detected in images. Using computer vision and deep learning, the system analyzes uploaded images to identify ingredients such as fruits, vegetables, grains, or packaged foods. Once the objects are recognized, the application matches them with a curated recipe database to recommend suitable dishes. It also provides cooking steps, ingredient lists, and optional nutritional insights. Built using Python, OpenCV, and machine learning models, this project demonstrates how AI can simplify meal planning, reduce food waste, and enhance user experience by transforming everyday food images into smart, actionable cooking recommendations.

Smart Object-Based Recipe Recommender

Smart Whiteboard Launcher is an AI-powered interactive system that transforms a digital whiteboard into an intelligent application launcher. Users draw letters, symbols, or shapes on the whiteboard, which are recognised in real time using computer vision and OCR techniques. Based on the detected character, the system automatically launches mapped applications or opens specific websites. Built with Python, OpenCV, NumPy, and Tesseract OCR, the project enables touchless and intuitive interaction. It showcases practical use cases of handwriting recognition, automation, and human computer interaction, making it useful for smart classrooms, presentations, and productivity-focused environments.

Smart Whiteboard Launcher

FarmConnect: Bridging Farmers to Resources

Overview:
FarmConnect is a comprehensive web application designed to empower farmers by providing them with valuable resources, information, and tools to enhance their agricultural practices, streamline operations, and maximize yields.

web application for farmers

Web scraping refers to the process of extracting data from websites. This is usually done programmatically, using scripts or specialized software tools, to gather information from web pages and convert it into a structured format such as a spreadsheet or a database. Web scraping can involve parsing the HTML of a webpage to locate and extract specific data elements, such as text, images, or links.