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Discover AI Applications

Browse applications built on modern technologies. Explore PoC and MVP applications created by our community and discover innovative use cases for modern technologies.

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Eco shift

Eco Shift is a comprehensive project that engages individuals, businesses, and smart cities in a collective effort to reduce carbon emissions. Through daily renewable surveys, participants interact with Eco Shift. It assesses their carbon consumption and empowers them to adopt eco-friendly practices. When scores dip below 80, AI-driven dialogues kick in, offering personalized carbon reduction recommendations. Beyond individuals, Eco Shift cultivates corporate environmental responsibility, helping companies enhance their sustainability efforts. Aligned with smart city goals, it promotes sustainable living and responsible resource management, seamlessly integrating advanced data analytics and interactive AI guidance to foster a more eco-conscious world.

Ai tech
Streamlit
application badge
ChatGPT

AgriChat

AgriChat is an agriculture expert, focused on achieving sustainable and productive agriculture. works closely with farmers, researchers, and policymakers to develop and promote effective agricultural practices that optimize crop yields while minimizing environmental impacts. AgriChat expertise includes soil science, crop management, irrigation systems, and pest management. Also collaborate with industry partners to introduce innovative technologies and tools that enhance agricultural productivity. AgriChat involves conducting research and field trials to evaluate the effectiveness of different agricultural techniques, analyzing data to identify trends and opportunities for improvement, and developing recommendations for farmers and policymakers. Also provide training and technical assistance to farmers to help them adopt best practices and improve their production capabilities. In addition, AgriChat work to raise awareness about the importance of sustainable agriculture and its role in addressing global challenges such as food security, climate change, and environmental degradation. Engage with local communities to promote agricultural practices that are tailored to local conditions and needs. Ultimately, AgriChat aims to improve the livelihoods of farmers and their communities while protecting the environment for future generations. Through collaborative efforts and the adoption of sustainable practices, we believe that we can achieve a food-secure future that is good for people, planet, and prosperity.

AgriTechly
medal
GANLangChainCohere Neural SearchBERT

GAIA Hackathon - Agricultural recycling

1- Reducing the percentage of greenhouse gas emissions that cause global warming from 50% to 40% by managing agricultural waste and storing carbon for use through sustainable environmental recycling using modern technologies Ai and Ml and pipes in the infrastructure, in the underground storage process. These modern techniques can be used to monitor and manage carbon storage, such as pressure monitoring and studying geological substrata and geological layers targeted for carbon storage. Artificial intelligence and machine learning techniques can also be used to analyze geological data, predict storage behavior, and improve monitoring and control of carbon storage. Where sensors and sensors are connected to the smart camera with a 360° view, with pipes in the infrastructure, to send reports and forecasts in the application system, and to build the photosynthesis process, this also contributes to energy redevelopment. 2- Providing sustainable technological solutions that support sustainability and reducing the carbon footprint, as the city of Hail and its agricultural factories were targeted to solve this problem. 3- Providing sustainable agricultural services and products. 4- Reducing gas emissions and increasing oxygen through the process of photosynthesis.

Saudi farms footprint
AWS SageMakerCohere GenerateCohere Neural Search

Space Galaxy 93

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.

Space Galaxy 93
ChatGPTGPT-4Dall-e MiniReinforcement Learning

FDS mini drones

In the forefront of fire detection innovation, this system converges cutting-edge technology, sustainable energy, and Python programming. At its core is a drone, seamlessly integrating a high-res webcam, solar panels, and a dry powder system. Solar panels ensure prolonged aerial surveillance, aligning the system with eco-friendly practices. The webcam captures real-time visuals, enhancing early fire detection. Python programming serves as the system's intelligence, enabling real-time data analysis and adaptive responses. This dynamic language transforms the system into a learning entity, evolving with changing needs. In the face of a fire, the Python-programmed system orchestrates a swift response. The drone, armed with a sophisticated dry powder system, executes precise firefighting maneuvers guided by Python algorithms. Sustainability echoes throughout, from solar-powered operations to eco-friendly firefighting measures, reducing the system's environmental impact. The synergy of advanced technology and Python programming creates a cohesive solution, adaptable to emerging fire detection needs. Python's open-ended nature allows for continuous refinement, ensuring the system evolves intelligently. This system stands not just as a fire sentinel but as a holistic, sustainable, and technologically advanced solution, reshaping the landscape of firefighting.

0X SpaceX
Cohere GenerateChatGPT

Proteus

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.

Proteus
Cohere Neural SearchReinforcement Learning

Trackpak

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.”

AutoMinds
Reinforcement Learning

HairT

Our innovative application revolutionizes the way you approach hair care by offering a comprehensive and personalized experience tailored specifically to your unique needs. Powered by cutting-edge artificial intelligence technology, our app utilizes sophisticated algorithms to analyze user responses and provide highly accurate and personalized hair care recommendations. Designed with convenience and simplicity in mind, our app guides you through a series of intuitive questions and prompts, allowing you to provide essential information about your hair type, concerns, styling preferences, and lifestyle factors. By tapping into this wealth of data, our advanced AI model generates customized recommendations that address your specific hair care needs, helping you achieve optimal results. Whether you're grappling with dryness, frizz, hair loss, or any other hair-related concern, our app offers expert guidance and tailored solutions. It takes into account various factors such as weather conditions, environmental influences, and even your geographical location to provide recommendations that are perfectly aligned with your circumstances.

Creative think
ChatGPT

Orion Technology

Orion Technology is startup company, it is a leading drone and artificial intelligence (AI) solutions provider for the mining industry. Our advanced drone technology, equipped with LiDAR, magnetometer, and camera sensors, provides mining companies with accurate and detailed data and insights that improve safety, efficiency, and sustainability while reducing costs. Our AI-powered drones can operate autonomously, streamlining complex mining processes and reducing the need for manual piloting. With our advanced capabilities and expertise, we help mining companies stay ahead of the curve, making informed decisions and optimizing their operations while mitigating the environmental impact of their operations.

Orion Technology
Stable Diffusion

Green AI

Our problem is the lack of vegetation, In this project we tried to find the best way to plant trees as efficiently as possible to reduce the process of global warming using artificial intelligence based on factors including environmental pollutants in the air, temperatures, population density, the ROI standard that measures fine particles with temperatures so that the artificial intelligence model finds the number of trees that should be planted in the region, neighborhoods, and any A spot in the kingdom was big or small based on geographical locations . We are creating a deep-learning model with the help of Long Short-Term Memory (LSTM) networks a modified version of recurrent neural networks (RNN), to predict the number of trees that should be planted in each city based on population density, air pollution, and temperature. air pollution data collected during covid - 19 was used in the regions and geographic area data. as the start of the project, the model was applied to the Dammam region to identify the neighborhoods in it and determine the percentages of environmental pollution present in it and temperatures and we found the ROI standard so that the darker the area or neighborhood, the more trees it needs to be planted. :And of course our project Achieving one of the goals of sustainable development by ensuring a healthy life and promoting luxury. - Accelerate and facilitate the process of achieving one of the goals of Vision 2023 by using artificial intelligence mechanisms. - Increasing the country's economy. - Preserving the environment. We used Python for programming and interfaces HTML , CSS , and Javascript For the tools we used Flask as a framework. As well as Colab for Python and Model Finally, we used visual studio to apply all the details of the project. As a future direction, we aspire to add more features to the system that will improve our environment like : integrate more features into our prediction model.

Green AI
WhisperCohere Neural Search