WeeWee Delivery

Delivery issues are among the main obstacles facing e-commerce in Algeria. Companies and online stores struggle with shipping delays, high costs, and weak logistical infrastructure, especially in remote areas. Additionally, many delivery companies lack effective tracking systems, leading to a loss of customer trust. These challenges hinder the growth of the local market, as many merchants find it difficult to expand their businesses and reach new customers. However, the gradual improvement in shipping and delivery services, along with the rise of digital solutions and smart applications, could help develop this sector and drive e-commerce toward greater prosperity.

A mobile application can play a crucial role in improving delivery processes and package tracking, significantly facilitating e-commerce. With a user-friendly interface, merchants and customers can track their shipments in real-time, increasing transparency and building trust. The app can also offer features such as precise delivery location tracking, order scheduling, and instant notifications on package status. Additionally, it can enhance the efficiency of delivery companies by intelligently managing orders, reducing errors, and speeding up delivery times. These features contribute to a better user experience, increased customer loyalty, and greater efficiency in the local market.

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WeeWee Driver

A delivery worker faces significant challenges in performing their duties without a dedicated delivery mobile application. Without an accurate tracking system, they may struggle to pinpoint customer addresses, especially in poorly mapped areas. They also have to communicate manually with customers, leading to delays and an increased likelihood of delivery errors. Additionally, they lack instant notifications about order updates or changes, which can cause confusion and affect work efficiency. These challenges make the delivery process less smooth and less reliable, impacting customer experience and adding to the workload of drivers.

A mobile application can effectively solve this problem by providing an accurate tracking system that helps delivery workers locate addresses easily, even in poorly mapped areas. The app also enables direct communication with customers through calls or in-app messages, reducing errors and speeding up the delivery process. Additionally, it offers instant notifications about any order updates or changes, helping drivers organize their routes efficiently. With these features, deliveries become faster and more precise, enhancing the customer experience and reducing the burden on delivery workers.

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Barber App

In the absence of a pre-booking application, hotel guests may face several issues when trying to schedule haircuts. They might have to visit the salon in person to check for available appointments, which can be inconvenient, especially during busy periods. Additionally, finding a suitable time slot could be challenging, particularly if bookings are recorded manually or through the reception, increasing the risk of errors or scheduling conflicts. Guests may also have to wait for long periods or miss the opportunity to receive the service at their preferred time, reducing the quality of their hotel experience and affecting their overall satisfaction with the service provided.

To enhance the guest experience and ensure a seamless haircut service within the hotel, we propose developing a dedicated booking application. This app allows guests to schedule appointments easily at any time without the need to call or visit the salon in person, saving them time and effort. They can also select their preferred barber, choose the desired service, and receive notifications for booking confirmations and reminders. On the management side, the application helps the hotel efficiently organize appointments, prevent overcrowding, and improve service quality. With this solution, the hotel can enhance customer satisfaction and provide a more comfortable and luxurious stay.

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Investigation of a classifier for Sentiment Analysis based on SNN

A deep learning sentiment analysis system using Spiking Neural Networks (SNNs) offers a biologically inspired approach to processing textual data efficiently. Unlike traditional deep learning models, SNNs mimic the way neurons communicate through discrete spikes, making them highly energy-efficient and suitable for real-time applications. By leveraging temporal encoding and event-driven processing, an SNN-based sentiment analysis system can capture complex linguistic patterns and emotional nuances in text. .

Spiking Neural Networks (SNNs) are a type of artificial neural network that more closely mimic the biological processes in the brain by using discrete spikes or pulses to communicate information. Unlike traditional neural networks that process information in continuous values, SNNs operate with temporal precision, where neurons communicate through sequences of spikes. This approach can be more energy-efficient, particularly for neuromorphic hardware, since neurons in SNNs only consume energy when they spike. They are particularly well-suited for tasks involving time-series data, like speech recognition or event-based vision, where the timing of the spikes carries significant information. However, training SNNs is more complex due to the need to handle the temporal dynamics of spike propagation.

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Finance App

A finance app built for a delivery company streamlines financial operations by automating payment processing, expense tracking, and revenue management. It provides real-time insights into cash flow, driver earnings, and operational costs, ensuring better financial transparency and decision-making. The app integrates with delivery management systems to handle invoices, track payments, and generate financial reports efficiently. With secure transactions and automated accounting features, it reduces manual workload, minimizes errors, and enhances overall financial efficiency, making it an essential tool for optimizing profitability and operational control in the delivery business.

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