الصفحة 2
الصفحة 2
Gesture smart control
Nowadays actions are increasingly being handled in electronic ways, instead of physical interaction. From earlier times biometrics is used in the authentication of a person. It recognizes a person by using a human trait associated with it like eyes (by calculating the distance between the eyes) and using hand gestures, fingerprint detection, face detection etc. Advantages of using these traits for identification are that they uniquely identify a person and cannot be forgotten or lost. These are unique features of a human being which are being used widely to make the human life simpler. Hand gesture recognition system is a powerful tool that supports efficient interaction between the user and the computer.
Generator remote controlling using internet connection
The traditional technique of monitoring the electricity generated through regular checks on the alternator variables: oil, temperature, voltage and current on a daily basis. Therefore, maintaining a normal performance cycle requires hard work and is often imprecise. The idea is to create an application that monitors wireless generators using the popular smartphone Android operating system. Implemented sensors deliver analog signals that provide real-time data on the status of the generator. This data is converted and programmed through the Node MCU microcontroller, which reads the results from the sensors and then converts into a signal, which is transmitted to the android phone, through a router. Thus live feedback of the generator status is ensured. In addition, this project provides a control button that can actually turn this generator on and off. This project is the first step towards bringing systems and control together as it revolutionizes the ideology of monitoring and displaying real-time data that can be implemented in different fields according to different needs. These fields include electricity, mechanics, and communications.
Generative adversarial text to image synthesis
Synthesizing high-quality images from text descriptions is a challenging problem in computer vision and has many practical applications. Samples generated by existing text-to-image approaches can roughly reflect the meaning of the given descriptions, but they fail to contain necessary details and vivid object parts. In order to make the project more specialized, it was approved that the project be dedicated to fashion image generation, we present an effective approach for generating new clothing through generative adversarial learning. Generative Adversarial Networks (GANs) successfully show the capability of synthesizing sharper images compared to other generative models.
Freelancing platform = منصة للأعمال الحرة
The digital era has seen a significant rise in freelancing, providing a flexible and accessible employment model for professionals worldwide. This project introduces an advanced freelancing platform designed to enhance the interaction between freelancers and clients. By employing a microservices architecture, the platform ensures a seamless, efficient, and secure environment for managing project collaborations, communications, and payment processes. The platform supports three primary user roles: Administrators, Freelancers, and Users. Administrators oversee comprehensive system management, including user accounts, service categories, platform settings, and financial transactions. Freelancers can create detailed profiles showcasing their skills, experiences, and portfolios, and publish services with clear descriptions, pricing, and Service Level Agreements (SLAs). Users can post service requests, outlining project requirements and budgets, enabling freelancers to apply and engage in these projects.
Food lens = فود لينس
Food lens is an innovative application designed to revolutionize dietary management by leveraging advanced image recognition and nutritional analysis. The primary objective of this senior project is to develop a user-friendly tool that identifies various foods through a camera interface and provides detailed nutritional information. This application not only enhances the user's understanding of their dietary intake but also assists in achieving personalized health and fitness goals. The core functionality of Food Lens involves the integration of a robust image recognition system capable of accurately identifying a wide range of foods. Upon identification, the application retrieves comprehensive nutritional data, including calorie content, macronutrient distribution (proteins, fats, carbohydrates), and essential micronutrients (vitamins and minerals). This data is then seamlessly integrated into the user's dietary profile. Food Lens is designed to track the user's daily caloric intake and compare it against personalized recommendations based on age, gender, weight, height, and activity level. By maintaining a dynamic record of consumed foods, the application provides real-time feedback on the user’s nutritional progress. This feature is particularly beneficial for individuals aiming to manage weight, address dietary restrictions, or improve overall health.
FitBuddy : An artificial intelligence powered personal trainer
FitBuddy App is a sports application that employs artificial intelligence in its job as a personal trainer that enables users to exercise anywhere with convenience, tremendous benefit, and high accuracy. The user can exercise with or without weights, in addition to cycling and running. The user must first provide the application with the personal data it has asked for in order to create an appropriate sports program for the user. After that, the user may explore the sports program's weeks and day's sections.
Fire-fighter robot
Firefighting is an important but dangerous career that can potentially cause the loss of life, property damage and permanent disability to the victim. Robots are designed to find a fire, before it rages out of control, could one day work with fire fighters greatly reducing the risk of injury to victims. In this report we will focus on each phase of the project one by one and demonstrate them.
Fashionity
This project is an AI fashion design system to generate fashion images based on user textual description. The proposed system incorporates advanced technology for dissemination and machine translation with the aim of facilitating a seamless user experience for input in both Arabic and English languages. Moreover, the project encompasses the incorporation of a recommendation system that proposes appropriate visual content based on user style. The primary objective of this project is to develop a robust framework capable of generating high-quality images based on textual descriptions, providing recommendations for similar clothing items, and facilitating the retrieval of photographic and apparel articles through image search.
Fashion forge
"Fashion forge" revolutionizes clothing shopping with a cutting-edge mobile application. This AI-powered platform empowers users to describe their dream garment and visualize it instantly, bridging the gap between imagination and reality for fashion-forward users and designers. A recommendation system tailors clothing suggestions based on user preferences, while stores leverage a dedicated social platform for effective marketing. "Fashion Forge" fosters a connected fashion community, empowering users, designers, and stores alike.
Fadfada
Sharing personal problems and true feeling on social media has a lot of fears and is not likable nowadays, because of bullying, shaming, and making fun of the user by other users, Fadfada is a multi-platform social networking service, that aims to give the users the ability to share their problems or feeling via written newsfeed (posts) or videos (stories) that had an impact on their psychological health without revealing their true identity, by putting a mask on their faces and changing their voices after recording the story. In addition to extracting features from posts and stories to match users based on it.
Expert system to inquiry about the necessary documents to extract a passport (Khedmati)
The project aims at building document organize system that manages a group of documents and pursuers distributed within different Ministries in Syria. The system manages documents for each Ministries such Terms of use, service cost and required papers. The system also enables to look the latest news of the country. Our system also gives a benefit to the user is send document transaction to the pursuer for follow up the document to the end. The user should be register in application to send document transaction to the pursuer. The user can apply to the available job in website through choose a specific job and fill all fields require and submit.
English proofreader
Using Natural Language Processing via Deep Learning, we will attempt to implement a context-sensitive spelling error correction system focused on casual text messaging. For example, usual autocorrect systems will not correct a sentence like “An apple is better than a banana” as this is a syntactically correct sentence. However, a correction should be made here to the word “then” and the sentence should be, “An apple is better than a banana.” These types of mistakes are common in people texting and can be found for example in people learning English as a second language. Natural Language Processing can be summarized as combining the utilization of computation to understand the concepts of natural language and speech.
Elevating video content creation with ai assistance = ارتقاء إنشاء محتوى الفيديو بمساعدة الذكاء الاصطناعي
We developed an AI Assistant equipped with features such as description crafting, title generation, keyword extraction, image captioning, clickbait detection, and sentiment analysis.To achieve these functionalities, we proposed a model for generating video descriptions using ResNet50 as a feature extractor and a LSTM network with an attention mechanism as a sequence generator, achieving a BLEU-1 score of 0.907 and a ROUGE-L score of 0.645. For keyword extraction, we utilized Sentence Transformer to identify strategically relevant keywords from the generated descriptions. For title generation, we fine-tuned the BART model, achieving a ROUGE-L score of 0.45. For clickbait detection, we used SVC classifier with linear kernel and TF-IDF vectorization for feature extraction, resulting in 96% accuracy. Our sentiment analysis model using a CNN-LSTM architecture achieved 80% accuracy in analyzing comments on videos. For image captioning, we employed a feature extractor with a CNN layer followed by an LSTM model, achieving a BLEU-1 score of 0.53. Our platform empowers creators by simplifying complex tasks and offering deeper audience engagement insights, making it a powerful tool in the evolving digital content creation.
Electronic house finder
One of the most practical ways to help the Syrian citizens search for suitable and affordable houses is to build an android application for selling, buying and renting houses. This application will ease the process of searching for houses as a whole, and will benefit real estate business owners by enabling them to spread their houses’ offers online. Through exploiting the advantage of the recent wide usage of mobile-based applications by the majority of the Syrian people, we can create an application in which the users are able to post house offers, post specified orders, view posted houses details, and filter their search according to many features (i.e., price and area).
E-health records
Each patient can view his health history electronically, decision makers can view the history of any patient and the treatment methods he underwent during his life and take the necessary measures to reach the patient to optimal health, and the Ministry of Health can obtain medical reports that enable it to take the necessary decisions.
Egocentric video summarization
Video summarization is defined as the generation of a summary of extensive video content that comes from all kinds of videos including egocentric videos by detecting and presenting the material to potential users which is most informative and contains interesting information. Video summarization has many practical applications and Egocentric video summarization approaches have been proposed to solve various problems in the healthcare industry. This work focuses on Alzheimer. Patients suffering from Alzheimer’s face difficulties in remembering what happened during their day, the identity of persons and medicine they took.
Earthquake alert with smartwatch = تنبيه الزلازل باستخدام الساعة الذكية
After the recent events and earthquakes that affected the region, resulting in the deaths of many individuals due to the lack of timely emergency response, the idea for this project emerged Earthquake Alert with Smartwatch. Initially, our application gathers information about the user, such as age, family members, and any existing medical conditions. In the event of an earthquake, the application sends an alert to the user. It receives earthquake information, such as ‘magnitude, time, location…’ from United States Geological Survey “USGS” through an API. If the user is within the geographical area affected by the earthquake, the application will assist the Smartwatch in calculating vital signs such as ‘heart rate and blood pressure’. Additionally, there is another artificial intelligence model that receives the user's audio recordings and converts them into written texts. All this information, along with the user's geographical location, will be sent to the nearest emergency point for the purpose of aiding those individuals trapped under the rubble.
Drousi: A private lessons management system
Private teaching is considered to be an effective way to increase academic achievement of students and it seen as being a supplementary education, so it has become very common all around the world, however, previous studies have come to different conclusions regarding its necessity, so Drousi application had been made ,it’s a user-friendly mobile application to manage and arrange private lessons, and There has never been a better time to become a private tutor, as class sizes in schools increase, this can result in teachers being unable to give their undivided attention to students, and this document lays out a project plan for the development of “Drousi”, The plan will include a summary of the system functionality and how it implemented.
Dream catcher
Dream Catcher is a video generation application that helps in many fields as science fiction, imagine event’s scenarios, education, animation and montage. By applying artificial algorithms implemented and trained on a dataset containing video samples and there descriptions to generate videos from any given text. The idea of generating videos from text is a new idea that was first presented at 2017, even that international companies like Google and OpenAi In the last year, was working on developing models to generate images from text. To make it easier to use the application, there are many ways to enter the text either by an image, voice or Typing from the keyboard.
Dr.phone
Dr phone is a software system that helps in talking with the doctor automatically and easily without the need to go to the doctor's clinic to diagnose the patient's condition. our application presents an available platform to make a video call between the doctor and the patient according to the patient’s needs. The system accepts the patient’s request after choosing an available doctor andthen waits for the doctor to accept his request, if there is no doctor available, the system performs an AI chatbot to the patient's need to give him the appropriate diagnosis. when the call finished the doctor represents medical record including the medicine and the analytics and record the next appointment if it’s needed then send them to the patient's email, the patient also can see the nearest pharmacies or labs according to his location, and finally the patient rates the doctor after the call is finished then payment by his available wallet.
