Object detection for blind people:

Overview:
I developed an innovative application to assist blind individuals by detecting and classifying objects in real-time, providing voice alerts to enhance their daily life navigation and safety. This project was driven by the motivation to improve the independence and security of blind people through advanced technology.

Motivation:
The primary motivation for this project was to help blind individuals detect objects in their surroundings, ensuring they can navigate safely and independently. By providing real-time auditory feedback, the application aims to significantly improve the quality of life for its users.

Technical Approach:
The application leverages the YOLO (You Only Look Once) algorithm, which is renowned for its ability to detect multiple objects within a single frame, unlike several other algorithms that can detect only one object at a time. The application is programmed in Python and integrates various libraries and frameworks to facilitate the voice alert system.

Key Features:

• Real-time Object Detection: Utilizes the YOLO algorithm to detect and classify multiple objects simultaneously.
• Voice Alert System: Provides immediate voice feedback for identified objects, prioritizing alerts based on the object's position in the detection array.
• Practical Applications: Enhances situational awareness by alerting users to nearby obstacles, such as approaching vehicles, thereby improving safety.
• User-friendly Design: Focuses on delivering accurate and timely information to assist blind individuals in navigating their environment effectively.

Outcome:
The project resulted in a robust and reliable tool that offers real-time object detection and auditory alerts, significantly enhancing the independence and safety of blind users. The application's ability to detect multiple objects and provide prioritized voice alerts ensures users receive crucial information promptly, helping them navigate their surroundings more confidently.

Technologies used:

• YOLO Algorithm for object detection
• Python for programming the detection and alert system
• Libraries and frameworks for voice alert integration

Project Documentation

Web Application that provides Emergency Medical Services:

Overview:
I developed a web application to assist individuals by providing emergency medical services (EMS), such as booking doctor appointments and checking blood bank inventories. This project aims to streamline healthcare access and enhance user convenience, particularly in times of medical emergencies.

Motivation:
The project was inspired by the challenges posed by the recent pandemic, where the need for safer and more efficient methods of booking doctor appointments became evident. It is dangerous for both patients and hospital staff to meet in person for appointments, and waiting in long queues poses additional health risks. The application addresses these issues by enabling users to book appointments from their phones. Additionally, the application helps users locate and contact blood banks directly to check for available blood units, saving crucial time during emergencies.

Technical Approach:
The application is designed to be user-friendly and accessible to all classes of people. It integrates multiple services under one platform, including doctor appointment booking and blood bank inventory checks, to provide comprehensive emergency medical support.

Key Features:

Doctor Appointment Booking: Allows users to book appointments with doctors directly from their phones without needing to visit the hospital in person.

Blood Bank Inventory Check: Enables users to check the availability of blood units and oxygen in registered blood banks and contact them directly.

Multi-Service Platform: Unlike other applications that offer single services, this application provides multiple essential medical services under one roof, enhancing its utility and convenience.

User-Friendly Interface: Designed to be intuitive and easy to navigate, ensuring users of all ages and technical abilities can access the services effortlessly.

Outcomes:
The project resulted in a highly practical and efficient web application that enhances healthcare accessibility and safety. By providing multiple emergency medical services on a single platform, the application ensures that users can quickly and easily access the medical support they need, especially during critical times.

Technologies Used:

• Web development technologies (e.g., HTML, CSS, JavaScript)
• Database management systems for storing user and service data

Project Documentation