جامعة الكتاب

روبوت ذكي يتحرك على سطح الحبوب داخل المخازن الزراعية بشكل تلقائي. يقوم بثلاثة أشياء في آنٍ واحد: يلتقط صوراً لسطح الحبوب ويحللها بالذكاء الاصطناعي، يقيس درجة حرارة الحبوب في العمق، ويقيس حرارة ورطوبة الهواء داخل المخزن. كل هذه البيانات ترسل مباشرة إلى لوحة بيانات يمكن مراقبتها عن بُعد من أي جهاز. الفائدة الرئيسية هي حماية العمال من مخاطر دخول المخزن كالغبار الكثيف ونقص الأكسجين وخطر انهيار سطح الكومة، واكتشاف مناطق التلف مبكراً قبل انتشارها وخسارة المحصول.

This paper presents the design and implementation of an intelligent AI-based smart wheelchair controlled by single-eye movement. The implemented prototype uses Raspberry Pi 5 as a vision and decision-making unit, a UGREEN webcam for live eye acquisition, and a hybrid perception pipeline based on MediaPipe iris landmarks, computer vision, and a Convolutional Neural Network (CNN) assist model. A step-by-step calibration procedure learns the user eye pattern for center, right, and left gaze, while a stable eye-controlled menu prevents accidental navigation. Motion commands are transmitted through a local Wi-Fi hotspot to an ESP32 motor and safety controller, which drives two DC motors through an L298N module using smooth pulse-width modulation (PWM) ramping. The prototype also integrates obstacle sensing, tilt detection, heart-rate and SpO2 monitoring, ground-drop detection, GPS localization, and emergency notification through a second ESP32 unit. The final system demonstrates a low-cost assistive mobility platform that combines eye-based control, embedded safety supervision, health monitoring, and emergency communication Keywords: Smart Wheelchair; Single-Eye Control; Iris Tracking; ESP32; Emergency Monitoring.

Medicore Academy is an AI-powered web app, better to say an ecosystem that contains outstanding features. Medicore Academy aims to remaster standard university lectures and old textbooks into highly organized, interactive learning lectures, making them easier to understand, reducing time, and improving learning quality by using mind maps, 8K-resolution visual models, and comparisons. Having a large AI model with more than 740B parameters that's working with a strict policy and five times check, and having a vision model called Medimate Vision that can analyze and read pathological slides, ECGs, X-Rays, MRIs, and CT scans, and more. Mediocre Academy used these AI algorithms: Transformer-based-LLM, Vision-Language Model (VLM), AI Agent Framework, Prompt Engineering, Multi-Modal AI (Text + Image), Schema Validation (Zod), Image Optimization (Sharp), Compression and resizing.