Browse applications built on GAN technology. Explore PoC and MVP applications created by our community and discover innovative use cases for GAN technology.
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.
Tab Lock revolutionizes online security with its innovative approach to user verification. By seamlessly integrating facial recognition technology, the extension adds an extra layer of protection to online interactions. This unique feature prevents users from accessing complete URLs until they successfully undergo facial recognition, ensuring that only authorized individuals can access sensitive information. Tab Lock not only prioritizes security but also prioritizes user experience by seamlessly incorporating this advanced verification process. With the ever-growing threats of unauthorized access, Tab Lock stands as a robust solution, offering users peace of mind and a heightened level of confidence in their online activities. Emphasizing both security and convenience, this extension aims to redefine the standards for a secure and user-friendly online environment.
Project description: The project idea is to automate the process of determining who is responsible for a car accident in order to reduce traffic congestion. Using computer vision, we analyze the pictures and determine if there is any damage and how deep it is. We determine the vehicle's position, and use a fault recognition decision-making system powered by GPS data and text lexical analysis algorithm , to determine which vehicle is responsible for the accident, as well as the mistake percentage of each vehicle. Resulting in a much easier and automatic way to clear the roads in cases of traffic jams and more reliable solution for the users to a better optimization of their time.
ARA utilizes artificial intelligence and computer vision technologies to examine surveillance footage from store cameras, providing businesses with valuable insights into both customer behavior and staff performance. In addition to generating analytics, the software goes a step further by recommending operational enhancements. This includes optimizing store layouts to improve customer experience and facilitating informed decision-making. By seamlessly integrating data-driven suggestions, ARA proves to be a valuable tool that positively impacts both the profitability of businesses and the overall quality of customer service within the retail sector.
Software that uses Medical image processing Algorithem and Segmentation and also modeling Techniques to reconstruct 3D models and Digital Twin from CT and MRI Medical Scans . We use Several Dataset and deploy on the segmintation model on Them Using Slicer Medical Viewer, Project MONAI then connect it to Omniverse which can convert 3D and VR to meshes with .usd extention for experiance an immarseve experiance so any doctor can Diagnosis and prepare for the operation and collaborate with other doctors from several places also import to other 3D software for Simulation of any Medical Process
Astronauts in space face a unique set of health challenges, many of which are caused by the microgravity environment. While medical staff on Earth are available to provide support, the time it takes for their response can be life-threatening. This is where our AI-powered audio guide comes in. Our audio guide is designed to provide astronauts with real-time first aid instructions and treatment advice, tailored to their individual symptoms. The audio guide can be activated by voice command, and it will use the latest medical knowledge to provide the best possible care. We believe that our audio guide has the potential to revolutionize the way that astronauts are treated for medical emergencies. By providing immediate and personalized care, our audio guide can help to reduce stress and anxiety, improve outcomes, and save lives.
In our increasingly digital world, effective communication with machines has become integral to our daily lives. However, a significant challenge lies in bridging the emotional gap between humans and artificial intelligence. Traditional human-computer interfaces often miss the nuanced emotional cues present in our voices, hindering our ability to interact with machines in a more natural and emotionally intelligent way. By using Tensorflow, Streamlit, and LSTM We trained our model on a huge audio datasets of 200 target words were spoken in the carrier phrase "Say the word _' by two actresses and recordings were made of the set portraying each of seven emotions (anger, disgust, fear, happiness, pleasant surprise, sadness, and neutral) with a total of 2800 data points. Feature Extraction: extracting relevant features from audio data. These features include pitch, tone, intensity, and spectral characteristics. Model Training: LSTM networks, as part of the TensorFlow framework, are trained on labeled audio datasets that associate audio samples with specific psychological states (e.g., happiness, sadness, anger). Pattern Recognition: During training, the LSTM learns to recognize patterns in the extracted audio features that correlate with different psychological states. It identifies how changes in vocal attributes correspond to specific emotions. Inference by Streamlit: Once trained, the AI model can infer the psychological state of unseen audio data. It analyzes the audio's features and provides an estimation of the emotional state expressed in the speech.
A Highly accurate Cloud based conversational Chatbot for Healthcare professionals depends on several professional Medical LLM Models MED-PaLM 2 , Nvidia ACE NVIDIA Avatar Cloud Engine (ACE) is an Omniverse Cloud API that provides a suite of real-time AI solutions for building and deploying intelligent game characters, interactive avatars, and digital humans in applications at-scale., and also Convai for conversational interaction depending by using both GPT-3 and GAN for a quick response for any question or discussion by the doctors. This solution is for Healthcare Professionals, Hospitals, and medical centers and can be used as an educational tool in universities
Our main idea is An AI model that reads a file then generates questions, motivational quotes and tips for the instructor and student based on the content and instructor choice in a gamification frame, to help make education experience more interactive, fun and appealing. But the time was limited to 48 hours, we only built one feature of the idea, which is generating questions from text. Our next steps are We will make the instructor upload the file and generate any type of questions(MCQ, true false...) Based on the instructor choice, they can use the tool as a plugin or a website. The tool can recommend a helpful resources about teaching based on the context of the uploaded file for the instructor. Add gamification features like: leaderboard, scores widget, motivation quotes.
Our project addresses a critical challenge: making English content accessible to Arabic speakers, focusing on Saudi Arabia. Language barriers hinder access to knowledge and experiences conveyed through video content. Our AI-powered solution aims to bridge this gap. We translate English videos into Arabic, preserving voice tone for emotional authenticity. Language is more than words; it carries cultural context and emotions. We push boundaries by incorporating deepfake technology. Lip movements sync naturally, akin to Arabic creation. Saudi Arabia's context emphasizes our project's importance. Vision 2030's innovation focus aligns with our goals. As internet adoption surges, accessibility to diverse content is crucial. Our impact extends beyond translation; it's about empowerment and engagement. Accessible content democratizes knowledge. Cross-cultural understanding and appreciation flourish, uniting a global society. Our project at the tech-culture-accessibility nexus is innovative. It holds the promise of inclusivity. Seamless translation bridges languages, opening doors to new experiences, knowledge, and connections for a brighter, interconnected future.
we are using stable diffusion as the key player for our sales point, we believe the customer is always right so we gave him the opportunity of making the design, since our products are mainly targeted towards the female segment they are keen in picking the right product for their out fit, during our soft launch we noticed that there are many requests to have a slight modification, whether it's the color or the size of the objects in the design stable diffusion can easily manipulate the design and we can then have it printed on a larger scale, but in order to mass produce a product their have to be an agreement, so we provide a platform where the top designs compete and the most upvoted design wins we use the votes as a marketing mechanism since we know that the customers are welling to invite more people to vote for their design
Lowering Medical Expenses: Diagnose helps to reduce healthcare costs by speeding up diagnoses and improving health outcomes. Early detection of disease through our AI models enables more targeted and cost-effective interventions, potentially preventing costly complications or long-term treatment. Sharing Effort: Diagnose enables healthcare professionals to leverage our AI models to create a seamless integration of technology and human knowledge. By bringing radiologists, clinicians and other providers together to provide the highest quality of care, our technology serves as a reliable partner. By working together, we open up new possibilities in diagnostics and ensure the best possible results for patients. Quicker Detection: Diagnose AI models facilitate a significantly faster diagnostic process. Our models quickly analyze medical images, resulting in instantaneous results that allow healthcare professionals to make informed decisions quickly. Peerless Accuracy: Through rigorous training on extensive and varied datasets of high quality, our models have acquired the ability to identify even the most nuanced patterns and anomalies.
Alamty provide all the support for the entrepreneur from the marketing side by reducing the cost and give a generative content about the brand and the products based on specific marketing models to help the business owner to spend the investment in the products and services to improve the quality provided and get customers and avoid the customers escape at the beginning of the business. We also open the platform for the developers community to build plugins to open the innovation in our platform and not make it restricted to what we provide and this feature will make the users more attractive to join and make the endless innovation.
Step into the future of fashion design with our revolutionary Artificial Intelligence powered application. In a world that's rapidly digitizing, our app is set to redefine the fashion landscape by bringing AI into the hands of designers and fashion enthusiasts. This groundbreaking tool harnesses the power of advanced text-to-image AI models, which are programmed to understand and interpret human language at a sophisticated level. With this technology, users can simply input descriptions of designs - whether it's an Abaya ,bag, or a classic shirt - and the app will generate a visual representation based on the description, effectively turning words into wearable designs. This feature gives rise to limitless possibilities for creativity and innovation, democratizing design in unprecedented ways. But that's not all. Our app also integrates traditional computer vision technologies using OpenCV, a leading open-source computer vision software library. By combining AI with proven computer vision methods to generate the design. progressively refining its ability to generate designs that are not just innovative, but also in line with current fashion trends and user preferences. The more you use the app, the more it understands your style, leading to personalized design suggestions that reflect your unique fashion sense. What sets our app apart is its potential for customization. Every user, every brand has a different aesthetic, and our app respects this diversity. Whether you're a budding designer seeking to break into the fashion industry, a brand looking to revolutionize your collections, or simply a fashion enthusiast wanting to experiment with design, our app offers a platform for you to express your creative vision.