Browse applications built on Reinforcement Learning technology. Explore PoC and MVP applications created by our community and discover innovative use cases for Reinforcement Learning technology.
GPT GUIDER : Discover new way for self leaning. save your time & increase your productivity elevate your leaning experience with the most comprehensive & powerful AI tools . Welcome to the forefront of educational innovation. As the architects behind "GPT GUIDER," we are a pioneering technology company committed to revolutionizing the learning experience for students, academics, and content creators. Our mission is to harness the power of artificial intelligence to tackle some of the most pressing challenges in education and content creation.The goal is clear: To offer a remarkable self-learning experience. By leveraging intelligent algorithms and a user-centered design, "GPT GUIDER" tears down the barriers that students commonly grapple with. Stress from overwhelming content, the struggle for understanding, and the thirst for creative exploration—these challenges are met with features that transform, clarify, and simplify learning.
This chatbot is a data science chatbot that was made to help you in your journey to learn data science, this chatbot was designed to help data science students and answer their questions related to data science and related majors. The chatbot was made to as simple as possible making it a user-friendly and accessible resource for both novices and experienced data scientists. We have used Python's NLTK and Tensorflow packages to build the model and we have deployed it using Streamlit. In this chatbot we have built our own dataset and placed it into a json file since we have not been able to find a suitable dataset for the data science topic.
AgriTechly, a groundbreaking startup, revolutionizes agriculture in the Middle East and North Africa (MENA) region by seamlessly integrating deep learning algorithms with extensive agricultural data. Specializing in the unique climatic conditions of MENA, AgriTechly employs cutting-edge technology to address key challenges in the agricultural sector. At the forefront of innovation, AgriTechly employs deep learning algorithms to enhance plant disease detection, enabling farmers to identify and combat potential threats promptly. The platform also optimizes soil detection, ensuring that farmers receive precise information about soil health and composition. By analyzing data related to crop yield, water usage, and pest control techniques, AgriTechly empowers farmers with insights to maximize productivity while minimizing resource usage. Moreover, AgriTechly extends its impact to veterinary diagnostics, offering tailored solutions for livestock health. The startup's comprehensive approach aims to create a sustainable and efficient agricultural ecosystem in the MENA region. With a focus on leveraging technology to address regional challenges, AgriTechly stands as a beacon of innovation, fostering resilience and prosperity in the agriculture sector.
The AI Email Spam Classification project utilizes machine learning techniques to accurately classify emails as spam or non-spam (ham). By leveraging the power of artificial intelligence and machine learning algorithms, the project aims to enhance email management and protect users from unwanted or malicious emails such as spam and phishing attacks. The project involves importing a dataset, preprocessing the text data, training a classification model using a Naive Bayes algorithm, and evaluating the model's performance. It provides insights into the dataset by counting the number of spam and ham emails and showcases example emails from each category. The AI Email Spam Classification project offers a practical solution for automating the detection and filtering of spam emails, thereby optimizing email communication and security.
Raising awareness about the impact of diabetes on society, encouraging early diagnosis, and supporting those affected We have used a set of data and created an artificial intelligence model in order to use it to predict diabetes and provide him with the necessary suggestions through medical advice and proper nutrition that suit his condition if he is sick, and provide means of communication for doctors. Our future goals are to design a smart bracelet equipped with a non-invasive sensor that allows for measuring blood sugar levels on a regular basis and with high accuracy instead of pricking the fingers. It will have many positive implications for diabetics in ending their suffering with pricking and measuring sugar levels several times a day.
We have crafted a sophisticated web application that harnesses the power of machine learning to predict the outcome of football matches, leveraging comprehensive player statistics. This innovative platform dives deep into the individual performance metrics of players, extracting meaningful patterns and insights to forecast the probability of a team's success. By employing advanced algorithms and predictive modeling, the application transforms raw statistical data into actionable predictions. Users can explore a dynamic interface that visualizes the key factors influencing the predictions, offering a user-friendly experience for both casual enthusiasts and dedicated analysts. The machine learning model undergoes continuous refinement through iterative training, ensuring its adaptability to evolving player dynamics and team strategies. This project not only caters to the fervor of football fans but also serves as a valuable tool for stakeholders, including team managers, sports analysts, and betting professionals. Its predictions can aid strategic decision-making, such as optimizing team compositions, adjusting tactics, or informing betting strategies. The web application stands at the intersection of sports, technology, and data analytics, providing a cutting-edge solution for those seeking a deeper understanding of football outcomes. With its intuitive design and robust predictive capabilities, the platform contributes to the evolving landscape of sports analytics, enhancing the way we approach and appreciate the beautiful game.
The evolution of space helmets is revolutionizing astronaut safety. With advancements in technology, the latest space helmets offer enhanced impact protection, improved communication capabilities, and augmented reality displays for heightened situational awareness. These innovations enable astronauts to undertake increasingly ambitious missions while minimizing risks, ensuring their well-being in the harsh conditions of space exploration. The current helmet is being developed using emerging technologies such as: 1- 3D Printing : To reduce the high cost of the current helmet, where the price ranges between 150 - 180K dollars, the innovation helmet is made of carbon fiber materials, which makes it lighter than normal helmets. Moreover, the dimensions of this helmet can be customized depending on the specific dimensions. Although , they are similar in size to regular sapace helmets, it has a design that allows astronomers to look up at the sky without obstruction while providing protection from ambient light and other environmental factors. 2- Argument Reality (AR) technologies: The astronaut’s vital data appears on the right side of the helmet’s internal screen, and information about items appears in front of the astronaut on the left side of the helmet. 3- Artificial Intelligence (AI): The helmet is connected to internal sensers and external cameras to analyze the astronaut’s vital signs, the elements in front of him, and also the environment around him. 4- Machine Learning: The helmet is connected to the vital devices attached to the astronaut’s suit, so that changes in vital signs such as oxygen flow, muscle atrophy, balance and gravity are sensed and adjusted as needed.
Develop an AI tool that meticulously assembles teams with unparalleled balance, ensuring every match presents a nail-biting 50/50 or 60/40 chance for victory. By incorporating AI to our application, we usher in a new era of fair, enjoyable, and balanced gaming experiences, ensuring that players of all skill levels can come together to compete, collaborate, and find the excitement they seek in the gaming world. As a result of our game's equitable team division, each team is more inclined to remain fully engaged in the gameplay. This, in turn, fosters heightened audience engagement, making our game a compelling and immersive experience for all.
Outface AI spaceships to expand your space station and dominate the battlefield. You embark on an interstellar journey as a spaceship captain, pitted against formidable spaceships in a battle for dominance. Your goal is to be the first to construct a powerful space station that will expand your influence and secure your supremacy in the vast expanse of the cosmos. As you navigate the treacherous battlefield, you must gather essential resources to fuel the growth of your space station. It's a construction race! Will you rise to become the master of this galactic arena? or will you be overshadowed by rival captains? The Used AI Tools: Unity ML-Agents (bot-AI works with reinforcement learning), Charmed -Texture Generator, Soundful -music generator, Elevenlabs -voice generator-, Scenario -Image generator-
Problem Statement: In the Kingdom of Saudi Arabia, the lack of accessibility to technologies for people with disabilities is a growing problem due to the lack of technologies that understand their hand gestures, lip reading, or voice commands in Arabic. Most technologies only rely on text-based inputs, which makes it difficult for people with disabilities to use them. Solution: Our solution "Nabaa" or " نبأ " which is an arabic name means "News that Has Great Importance". Nabaa is a groundbreaking AI-powered tool that empowers people with disabilities to live more independent and fulfilling lives. Nabaa's AI model can understand and interpret sign language and gestures, allowing users to interact with digital devices and services in a way that is natural and intuitive.
The Crop Sense project aims to address the lack of accurate and timely information on crop health in agriculture, which can result in reduced yields, poor quality crops, and lower profits for farmers. The solution is to leverage IoT and AI to predict crop health by analyzing various factors such as fertilizer and herbicide levels, weather patterns, and soil management. Additionally, the project seeks to provide farmers with a chatbot service that will allow them to easily access information about their crops and receive real-time advice on crop health management. By leveraging natural language processing and machine learning algorithms, the chatbot can understand the farmer's queries and provide customized recommendations based on the specific crop, location, and other contextual factors. This user-friendly feature enables farmers to make informed decisions about their crop management practices, ultimately leading to higher yields, better quality crops, and increased profits. The project has a competitive advantage over traditional methods of crop health prediction, as it utilizes IoT and AI to provide accurate and timely information. The project is seeking $5 million in seed funding to accelerate its development and commercialization, with the goal of contributing to the growth and development of the agricultural industry.
Proteus is a revolutionary satellite mission that utilizes AI and machine learning algorithms to predict natural disasters such as volcanic eruptions, rapid fires, and earthquakes. To provide earlier and more accurate predictions, we can help save lives and minimize damage to infrastructure and property, Our mission will analyze environmental data at a high resolution, including temperature, humidity, air pressure, and soil moisture. Using advanced sensor suite, bus system, and STK analysis will help detect subtle changes in the environment that signal an impending disaster. Found data could also inform policy decisions related to disaster response and preparedness. In conclusion, this satellite mission represents a unique and innovative approach to predicting natural disasters. With the potential to make a real difference in people's lives.
TrackPak systems It is time to say goodbye to well-known baggage labels – AI algorithms will handle the task way more successfully. Plus, it is environmentally friendly. What exactly do we mean by that? While the number of travelers grows yearly, specialists from the travel and tourism industry are looking for a way to optimize baggage processing. And here it is. Computer vision technology can trace the tiniest bag characteristics and send a complete bag “profile” to the database. Machine learning then distinguishes the right baggage according to its unique portrait. example TrackPak website Travelers take a photo of their luggage and upload it to the system. This is the only step needed to track the bag wherever it may appear. At first, such a system does not seem reliable, but mind that every bag is unique, considering size parameters, spots, scratches, dints, and so on. As the creators say, “Pictures do not lie.”
من خلال أحد العلامات الحيوية الخاصة بالانسان وربطها بنظام مداوم مع كاميرات المنشأة نستطيع معرفة المتواجد داخل نطاق المنشأة دون الحاجة لأي مجهود أو أجهزة إضافية أخرى كالجوال أو سوار وخلافه نستخدم في مشروعنا عدد من تقنيات الذكاء الاصطناعي وتعلم الآلة face recognition – interactive dashboard – supervised machine learning وربطها بالكاميرات المتوفرة في المنشأة وإتاحة لوحة التحكم للمسؤول في المنشأة لمتابعة دوام المنتسبين للمنشأة. كما يتيح النظام إرسال الإشعارات للمنتسبين بعدم تواجدهم وضرورة إثبات حضورهم عبر خيارات أخرى تتوفر عن طريق بصمة الجوال في داخل النطاق الجغرافي أو رمز OTP . كما انه بالإمكان إضافة عدد من الميزات للنظام كتفعيل خاصية التحذير من دخول الغير منتسبين . يتكون المشروع من 3 عناصر برمجة الكاميرات لوحة التحكم تطبيق المنتسبين ونعمل على ربط العناصر الثلاث لتسهيل عمل الموظفين وإدارة الموارد البشرية والحفاظ على أمن وسلامة المنشأة ومنتسبيها.
The Cyberani platform addresses the challenge of cybersecurity graduates lacking the necessary skills for the job market due to the rapidly evolving nature of the field. It provides an AI-powered solution for individuals to prepare for cybersecurity careers and helps employers develop and monitor their cybersecurity staff. With eight domains and over 473 certificates in cybersecurity, Cyberani helps individuals determine the best certificates for career advancement. It offers personalized progress reports based on CV analysis and keeps users up to date with the latest industry updates. Employers can utilize AI-generated reports based on LinkedIn profiles to enhance their cybersecurity staff. Cyberani aligns with Vision 2030 and has a substantial market potential, with over 26,000 graduate students in Saudi Arabia's Communication and Information Technology field. By addressing critical industry challenges, Cyberani aims to make a significant impact in the cybersecurity industry.
AI Pod to reduce risks discovered by vulnerabilities scanning software to assist various organization to mitigate cyber security risk Problems in the current Process: 1- High Risk Due to Long Process (Delay) 2- Mis-Planning and Mis-Utilizing Cybersecurity Resources 3- No Proper DR plan for losing key Cybersecurity Specialists (Resignation) MARKET SIZE Target Consumer (Who will use it): CyperPod is a Business-to-Business (B2B) product for any Organization focusing on Cybersecurity investments. Market Size in KSA: In 2022 -> 365 Millions $ Growth expected in 2023 = 4% How we’ll make money? Annual subscription
There is an issue that lots of companies, gov, sim-gov and private sectors facing on there procedure, lets say there is an employee well finish his intern period and wanted to to renew for a new period there is lots of procedures that he/she well gonna face and here we come to give high efficent , scalable private chatbot service. Nabaa is a chatbot as service, where we give companies and gov sectors a private, scaleable on prem solution for there procedure implementation. Also we give an api endpoints were we are supporting easy integration with our service using private gateway + hosted data on our secure gate
Problem: Nowadays, there is a huge interest in space industry for research and experiments. The interest started almost 40 years ago (in 1985) when Prince Sultan bin Salman flew aboard the American STS-51-G Space Shuttle mission. Today, (May 21, 2023), the CST send two Saudi astronauts to the International Space Station (ISS) as the first launch of the Saudi space mission. There is a huge potential for exploring space using generative AI, opening the doors for scientists and space agencies to explore unreachable places. We have noticed that generative AI being more customized to the space industry will help space scientists get the knowledge accurately and effectively. Solution: Our solution is based on Deep Generative Neural Network , which can generate text and media. The data used for the purpose of the project should be collected from authorized space sources. The solution can offer various features, including: • Get generated text, images, videos, and audio related to the space industry. • The scientist has his profile to formulate their research interest. • Each scientist can save, share, and download their generated content. • The solution has a collaborative environment between the scientists’ community. • The higher-ranking content can get into auction to share generated media with society. • Growing potential for innovation by sharing knowledge, ratings, and feedback in generated media. • The Gamification Components to Increase generated media with monthly competitions and winners. Possible Use Cases: Generative AI can be a powerful tool in space exploration and related fields. Here are some examples: 1. Designing and optimizing spacecraft components by training machine learning models on data from previous missions or simulations, generative AI can help engineers create more efficient and effective spacecraft designs. 2. Analyzing scientific data from space missions. 3. Predicting and mitigating risks associated with space missions.
Since the health care providers and hospitals face a large number of challenges such as the huge number of patients who have chronic diseases and they need to be treated and monitored frequently. The large language Model (LLMs) can effectively help and predict the most complicated cases that need a close monitoring and to be seen by the doctors. Therefore, AI can differentiate between these complicated cases and other cases that do not require any advance intervention or care. The model will create will significantly reduce the waiting time for getting appointments in hospitals and enhance the efficiency of physicians’ daily duties. An online chat-bot bridges and help the gap and links doctors and the patients. We aim to generate a large language model (LLMs) for creating medical assessments based on patient information described in electronic health record (EHR) notes.
The main idea of invention depends on program Reinforce learning of motivation item which is multiple senses. It is a new invention that is based on different senses to help patients with weak sensory system, as it work to vocational develop these damaging areas with noticing improvement these damaged cells. It is possible to focus on one sense only, simply by adapting the lighting, atmosphere, sounds, and formulations to meet the specific needs of the patient usage time, where the focus is on helping the patient to reach the maximum amount of pleasure from the activity with the participation of a person capable of. One advantage of the machine that does not rely on verbal communication so that it is useful for people who suffer from severe autism because they provide a stimulus for those who are impossible to reach them. Approach multisensory stimulation is a treatment program using the senses to help the sick and poor sensory sensitivity and functional recovery in the affected area and see the progress of the adjustment. It helps patients who suffer from various forms of sensory loss and weakness retrains the sensory pathways, and adapts to change his abilities, and restore function.