Case Study

Yoga-based lifestyle application YogaMeet offers on-demand classes for yoga, meditation, Pilates, and dance fitness. With a global network of qualified fitness coaches, the app provides an at-home yogic experience at your fingertips. They advocate for healthy well-being by practicing yoga safely and making progress toward a specific goal in the comfort of any place and time. TECH STACK CLIENT YogaMeet SERVICE PROVIDED Application Design, Application Development YogaMeet is a subscription-based app that provides access to on-demand yoga, meditation, Pilates, and dance fitness classes. Users can connect with global fitness coaches, track progress, and practice a healthy lifestyle anytime, anywhere. AWS Flutter Laravel Firebase Roku PHP The Challenges Unable to access a variety of content and videos Lack of accessibility using multiple devices Low-resolution videos Unimpressive user interface Concern for privacy Key Requirements We had to build a subscription-based app with an excellent interface that allows users to view high-resolution yoga videos and schedule and sign up for upcoming workshops and classes. The app should also have great recommendations and multi-device support. Our Solution Seamless Yoga Access Nyx Wolves built a user-friendly app to access a range of yoga content, videos, live classes, etc. on a single app. The users can simply sign up to create an account to enjoy the content on time. monthly or annual subscriptions. Multi-Device Compatibility The users can access the app’s content from multiple devices, including smartphones, tablets, and smart TVs. The app also includes social sharing features that allow users to share their progress, achievements, or favorite content on social media platforms. HD & 4K Video Experience To enhance the viewing experience in HD and 4K, we leveraged AWS Elemental Media Services for seamless, high-quality video playback without buffering or delays. Modern User Interface We created a user-friendly interface that simplifies navigation, searching, and filtering of content. Using a sleek, contemporary design and complementing icons, buttons, and menus to ensure a smooth experience. Data Privacy Assured We also incorporated SSL encryption, secure user authentication, and access controls to protect user data and prevent unauthorized access to the app. Your Yogic Journey Begins Here Transform your daily routine with YogaMeet. Experience fitness like never before with personalized classes on multiple devices. Join the movement today! Development Process 01 Discover User Research / In-Depth interviews 02 Design Product Hypothesis / User Stories 03 Develop Style Guide / Hi-Fi Wireframe 04 Deliver User Interface / Adaptive Design Unleash Your Inner Calm Where Every Pose is a Path to Wellness With YogaMeet, every tap is more than just a gesture—it’s a step toward your perfect balance. Explore transformative practices and let wellness find its way to you. Learn more Your path to peace is just a click away. Results The app delivers a holistic solution designed to meet user requirements, offering a seamless and pleasant experience. Developed with cutting-edge technologies and hosted on AWS, it guarantees scalability, dependability, and security. Compatibility with various devices, including Roku smart TVs broaden its reach, enabling a larger audience to take advantage of the app’s capabilities and features. Seamless user experience with improved engagement. Increased revenue with multiple subscription models. High user retention due to personalized recommendations. Offline viewing feature improved accessibility. Secure data management with AWS infrastructure. AWS services used Amazon EC3 To host the email services Amazon S3 To store media files YogaMeet. Powered by Nyx Wolves

Heita is a QR code-based smart doorbell system that immediately notifies its users of who’s at their door, regardless of their location. The guests can easily contact them by scanning the QR code with any smartphone, facilitating instant, real-time communication. Heita was conceived as a cost-free alternative to pricey smart doorbells, which are often challenging to set up and depend on a broadband connection. TECH STACK CLIENT Heita SERVICE PROVIDED Application Design, Application Development Heita is a cost-effective, QR code-based smart doorbell app that facilitates instant communication between homeowners and guests through real-time scanning and calling. Flutter Firebase WebRTC QR The Problems Outdated doorbells need installation. There is no way to contact the homeowner if they are out. Smart doorbells can be costly. Data Security concerns. Key Requirements Our goal was to build an app that generates and assigns a distinct QR code to every homeowner. which can be displayed at the entrance. When guests visit, they can simply scan this QR code with their smartphone, which would trigger an automatic call to the homeowner’s phone. This solution ensures homeowners are accessible to their visitors at any moment, wherever they are.. Our Solution QR Code Integration The homeowners register on the app using a phone number, which will generate a unique QR code. code for them. This code can be simply printed and displayed near the entrance for guests. to scan. Real-Time Communication If no one is at home and there is no way of contacting the homeowner, all that the guests have to do is scan the QR code, which will initiate a call to the owner. Affordable and Versatile The registration and placement of the QR are quite simple compared to other smart doorbells, this budget-friendly option comes as a boon. And bonus, the app runs smoothly on both Android and iOS. Enhanced Data Security Designed with a focus on security, the system guarantees end-to-end encryption and the protection of user data and call records. This is achieved by employing robust security protocols. like SSL/TLS, along with Firebase Security Rules, to restrict data access. Optimized Performance Optimized for performance, the app loads without lag and runs seamlessly on all devices. The app also lets its users give feedback to improve the user experience. Your doorbell, powered by a single scan Experience the future of smart home access with Heita. This innovative QR-based doorbell system empowers users with instant notifications, real-time communication, and effortless guest connectivity—without the need for costly setups or broadband. Stay connected, simplify access, and embrace smarter living—wherever you are. Development Process 01 Discover User Research / In-Depth interviews 02 Design Product Hypothesis / User Stories 03 Develop Style Guide / Hi-Fi Wireframe 04 Deliver User Interface / Adaptive Design Scan, notify, & connect Where Every Scan Opens the Door to Smarter Connections. With Heita, every scan is more than just a connection—it’s a step toward seamless communication and smarter living. Discover the future of accessibility and let innovation simplify your life. Learn more Answer your door from anywhere Results The app uses WebRTC, which enables high-speed audio/video communication and data sharing between browsers and mobile applications over peer-to-peer networks with minimal latency. Using Firebase, the system ensures instant data synchronization and effective user authentication through Firebase’s real-time database and authentication. It focuses on security and uses SSL/TLS and Firebase security rules for full data encryption and privacy. This secure framework allows customers to reach homeowners using a separate QR code, leveraging the capabilities of WebRTC and Firebase. 95% user satisfaction rate 50% improvement in accessibility Enhanced security with encrypted communication. Reduced dependency on traditional doorbells. AWS services used Amazon EC2 To host the email services Heita. Powered by Nyx Wolves

HD Medical, a Silicon Valley-based medical equipment manufacturer, is a leader in digital health solutions and AI-enabled detection and management of cardiovascular disease (CVD). Their flagship product – the HD Steth, is a one-of-a-kind digital stethoscope that helps medical Professionals make timely decisions and call the shots at the point of care using statistical data. TECH STACK CLIENT HD Steth SERVICE PROVIDED Application Design, Application Development HD Steth is a groundbreaking digital stethoscope and app that enables real-time cardiovascular diagnostics and seamless patient data management. Cardiovascular Health Point-of-Care Diagnosis Medical Device Connectivity EKG Monitoring Remote Patient Monitoring Healthcare Innovation Patient Care Real-time Data Capture Clinical Decision Support Heart Sound Analysis Medical Technology Digital Healthcare The Challenges Non-digital health records Unable to analyze patient data Old-school method of patient diagnosis Difficulty in visualization Key Requirements We were entrusted with developing an application that will run smoothly on phones, tablets, and iPads. The app would enable the ocumentation and analysis of all the data from the HD Steth and connect via luetooth. All the reports and visualized graphs would be available in the palm of the medical professional in real time with the utmost accuracy. Our Solution Bridging the Digital Divide We build a dynamic application that runs effortlessly on both Android and iOS platforms for HD Steth captures and plots ECG, PCG, and MUR waveforms in real-time. The data is transferred using Bluetooth technology to connect with the BLE device. Empowering Analysis With multiple profile creation capabilities, the app can record EKG readings for different patients and hold them separately. These reports could be exported as PDFs and mailed to the user. Modernizing Diagnostics In addition to producing instantaneous and accurate charts, these graphs can also be customized to include changing colors of waveform, zoom factor, etc. Enhancing Visualization Another fascinating feature is that the app can capture the heart sound and render it as a WAV file for listening later, which also facilitates dynamic multi-point analysis (MPA) of data – a key element to help in prompt and precise diagnosis. Redefining Heart Care, One Beat at a Time. Experience the future of cardiovascular diagnostics with HD Steth. This FDA-approved digital stethoscope and app empower healthcare professionals with real-time data capture, AI-driven insights, and seamless patient monitoring. Diagnose smarter, act faster, and provide unparalleled care—all at the point of need. Development Process 01 Discover User Research / In-Depth interviews 02 Design Product Hypothesis / User Stories 03 Develop Style Guide / Hi-Fi Wireframe 04 Deliver User Interface / Adaptive Design Where Every Beat is a Step to Better Care. With HD Steth, every heartbeat is more than just a sound—it’s a step toward accurate diagnoses and better patient care. Explore the future of healthcare and let technology empower your practice. Learn more Results HD Steth by the Numbers Launched in 2020, the HD Steth application has been approved by the FDA in the USA. 1000+ Doctors have used the HD Steth app, and it continues to help identify heart diseases from a very early stage. Doctors Trained 0 k+ FDA Approved EKGs Captured 0 k+ HD Steth. Powered by Nyx Wolves

Tento is an attractive gaming platform that combines knowledge and pleasure through various quizzes and puzzles. And what’s more is that users can win games to earn real money. As the appeal towards money-making gaming is on the rise, and Tento allows its users to compete against other players in real-time to gain rewards and win a cash prize. TECH STACK CLIENT Tento SERVICE PROVIDED Application Design, Application Development Tento is an engaging gaming platform offering real-time quizzes and puzzles where players can compete and win real money The Struggle of Creating a Thrilling Gaming Experience Ordinary and regular-looking applications Plain and uninspiring games Continual need for customizations for clients. Shortage of resource bandwidth. Key Requirements Tento wanted to give their users a fascinating and captivating gaming experience where the players could compete in real-time. A key requirement was to enable players to play 1v1 games by paying or betting. Our Solution Reinventing Engagement We designed and created a web-based application and a mobile application that were both interesting and on point with the changing theme of the gaming platform. Elevating Competition Using the latest cutting-edge technologies, including, but not limited to, GraphQL and Hasura, We built a powerful and robust real-time gaming platform. Breaking the Monotony By including alluring details like wallets, leaderboards, bot mode, free mode, power-ups, and much more, we bundled a complete gaming experience wrapped up on a single platform. Building for the Future The app was loaded with gripping games, quizzes, and puzzles and worked smoothly without lags to improve user engagement. Win, Play, Earn: Level Up Your Gaming with Tento! Discover the ultimate gaming experience with Tento, where thrilling quizzes and real-time battles meet exciting cash rewards. Compete in 1v1 games, climb leaderboards, and enjoy seamless play with cutting-edge technology. It’s time to play smart and earn big! Development Process 01 Discover User Research / In-Depth interviews 02 Design Product Hypothesis / User Stories 03 Develop Style Guide / Hi-Fi Wireframe 04 Deliver User Interface / Adaptive Design Quiz Your Way to Victory Win fromthe Quiz Results Tento by the Numbers We were able to help Tento successfully draw in users, retain them and build traction. They are currently looking to raise funds for the next level of growth and league. Questions 0 k+ Categories 0 + Users 0 k+ Tento. Powered by Nyx Wolves

Where Talents Meet Businesses They conduct over 600 networking and recruiting events in India and the US across 30 cities to make this happen. In addition to providing recruitment services, they also provide a unique interview-as-a-service where they present the interviewed candidates and their feedback to their clients. TECH STACK CLIENT Hiyamee SERVICE PROVIDED Application Design, Application Development YEAR 2024 HiyaMee is a tech community that strives to bring together the finest tech talents and emerging businesses. AWS Flutter SaaS HR Tech Over 600 Networking and Recruiting Events Across 30 cities in India and the US In addition to providing recruitment services, they also provide a unique interview-as-a-service where they present the interviewed candidates and their feedback to their clients. The Challenges Struggles in pre-screening and pre-interviewing candidates Outdated and laborious methods of data handling A manual and time-consuming process Ineffective assessment and tracking of candidates’ performances Our Solution We created an application tracking system that would oversee the entire recruitment process lifecycle. To go along with the tracking system and reduce the ardent labor, a dashboard was designed and developed for their clients to create, update, and furnish the status of candidates’ profiles on the platform. We also built an AI-based Resume Parser, a microservice deployed on AWS with Lambda. which could interpret the resume and refresh the data without manual interference. In addition, we provided some key features, like interview scheduling, and enabled their clients to obtain reports and the status of the candidates. Design Process 01 Discover User Research / In-Depth interviews 02 Design Product Hypothesis / User Stories 03 Develop Style Guide / Hi-Fi Wireframe 04 Deliver User Interface / Adaptive Design Candidate Module Employer Module YouTube for Interviews Results Candidates Placed 0 + Recruiters 0 + User Roles 0 50% reduction in time spent on pre-screening. 30% improvement in candidate evaluation accuracy. Increased recruiter productivity with a streamlined scheduling process. Enhanced scalability and cost-efficiency with AWS-powered infrastructure. Improved collaboration with a centralized video repository accessible by recruiters and panelists. Current Status We are currently working with Briisk as a technology partner and providing them with increased resource support. In the months that we have been working at Briisk, we were able to relieve the InsurTech is facing mounting strain, and we are in the process of expanding by recruiting and managing resources for them. HiyaMee. Powered by Nyx Wolves

React.JS Angular Azure Devops Founded in 2016, briisk is a late-stage InsurTech startup operating from Cape Town, London, Bangalore, Istanbul, Munich and Nairobi. With a team of over 20 focusing on emerging markets today. Briisk is passionate about creating innovative digital insurance and cutting-edge distribution solutions to enable their clients to digitise products at a lower cost and to scale distribution faster. Being experts in financial services, they help their clients automate processes, digitise and innovate products and explore new distribution channels, thereby reducing cost, increasing revenue and delivering more value for their customers. The Problem Lack of clarity on core competencies and KPIs. Prolonged/ extended deadlines. Continual need for customizations for clients. Shortage of resource bandwidth. Our Solutions Nyx stepped in as an extended team and integration partner to offer our services and help. Briisk refines and defines their KPIs and core. We rendered end-to-end support for updating and customizing websites for their clients, which greatly reduced the pressure of constant changes. We took part in SCRUM calls and employed Agile methodologies for faster results and to get back on track with the flow and timelines. By providing a dedicated team of experts we backed up Briisk and worked alongside them to support the development life cycle and various other requirements. Design Process 01 Discover User Research / In-Depth interviews 02 Design Product Hypothesis / User Stories 03 Develop Style Guide / Hi-Fi Wireframe 04 Deliver User Interface / Adaptive Design Insuring Dreams, assuring Tomorrows. Current Status We are currently working with Briisk as a technology partner and providing them with increased resource support. In the months that we have been working at Briisk, we were able to relieve the InsurTech is facing mounting strain, and we are in the process of expanding by recruiting and managing resources for them. briisk. Powered by Nyx Wolves

Let’s find your special someone Bozmie is an innovative app-based service designed to connect people in meaningful ways. By leveraging cutting-edge technology, Bozmie helps users discover and build relationships, whether they are seeking new friendships or the perfect companion. This case study delves into Bozmie’s unique approach to fostering connections, the challenges it addresses in today’s digital landscape, and the impact it has on its users’ social experiences. Downloads 0 k+ Active Users 0 k+ Match Rate 0 % TECH STACK CLIENT Bozmie SERVICE PROVIDED Application Design, Application Development YEAR 2024 Bozmie is an app-based service that enables its users to meet new people and help find their perfect companion. Redefining Connections with Smart Features for Finding Your Perfect Match Along with features like reviewing profiles, browsing photo galleries, and making a favorite list, the app offers much more to its users by connecting to an unlimited number of single users to finally find their perfect match. Discover Who Catches Your Eye See the World Through Their Lens Keep Your Top Picks Close The Challenge With Dating Apps Hassle of User Privacy and Security Lack of social sensitivities and unrefined profile matching Restrictive Regulatory Compliance Boring user experience and absence of key elements in the application Another basic and app unable to withstand the market competition Key Requirements We were challenged with the task of designing and developing a smooth and brand-new UI/UX that encompassed all of the dating features into a platform that lets its users view, communicate, chat, and video call each other. OurSolution Enhanced Security Measures The upgraded application was fortified by integrating safety factors such as 2FA, notifications, and other features so that user data and access are secured. GDPR Compliant Being GDPR (General Data Protection Regulation) compliant, it was ensured that PII (Personally Identifiable Information) remained private and secure. Streamlined User Experience The application structure was in such a way that users didn’t have to deal with misleading profiles and unwanted content. But, at the same time, ensuring the users are matched with relevant people according to their preferences Advanced Features Implementation The much-needed and key features like quick gestures, real-time texting, and video calling features with APIs written in the backend were implemented to give the most in-app experience for the users Exceeding Expectations We delivered an app that not only met standards but surpassed expectations and was on par with leading dating sites in the market. With the fusion of basic and advanced features, we created an all-powerful dating app with a touch of passion. Seamless and Secure Experience While the amazing app facilities would give users a seamless and enjoyable experience on Bozmie, the highly secure features would make sure the users had a delightful and worry-free dating life as well. Turning Strangers into Friends, and Friends into Companions Bozmie transforms the way we connect, turning casual introductions into meaningful relationships. Development Process 01 Discover User Research / In-Depth interviews 02 Design Product Hypothesis / User Stories 03 Develop Style Guide / Hi-Fi Wireframe 04 Deliver User Interface / Adaptive Design Where every swipe is a Step to Love With Bozmie, every swipe is more than just a motion—it’s a step toward finding your perfect match. Explore meaningful connections and let love find its way to you. Learn more Bozmie by the Numbers We put in our work, and the numbers speak for themselves – with 10,000+ downloads and 80% likely matching, we have helped Bozmie achieve a Monthly Active Users (MAU) of over 5000. Bozmie. Powered by Nyx Wolves

Responsive Website Mental Health Condition Prediction for Leading Anxiety Awareness Organization AI in Mental Health Behavioral Analysis Social Media Analytics Mental Health Prediction Anxiety Awareness Machine Learning Video Analysis Natural Language Processing Overview A renowned non-profit organization dedicated to anxiety awareness required an advanced solution to predict mental health conditions by analyzing behaviors from videos and social media posts. Traditional methods of mental health assessment are often time-consuming and subjective. This research project aimed to leverage AI and machine learning technologies to provide a more objective, efficient, and scalable approach to mental health condition prediction. Problems 1.Traditional mental health assessments are time-consuming and subjective, leading to potential inconsistencies. 2.There is a need for a scalable solution to analyze large volumes of data from videos and social media posts to predict mental health conditions. 3. The organization required a modern solution to streamline the mental health prediction process and improve early detection and intervention. Key Requirements 1. Development of an AI-driven system to analyze behaviors from videos and social media posts. 2. Implementation of machine learning algorithms to predict mental health conditions based on behavioral data. 3. Integration of natural language processing (NLP) to analyze text from social media posts. 4. Real-time data processing and analysis for timely predictions. 5. Creation of a secure database to store and manage sensitive data. 6. Ensuring the highest level of data security and privacy protection for users’ information. Maintenance and Support: The admin interface provides tools for monitoring performance, updates, and technical support. Responsive Design: The web app and admin interface are compatible across various devices and screen sizes. Our Solutions Behavioral Analysis from Videos: Implemented computer vision techniques using OpenCV to analyze facial expressions, body language, and other behavioral indicators from videos. Social Media Text Analysis: Developed NLP models to analyze text from social media posts, identifying patterns and indicators of mental health conditions. Machine Learning Predictions: Trained machine learning models using TensorFlow to predict mental health conditions based on analyzed behavioral and text data. Real-time Data Processing: Ensured real-time data processing to provide timely predictions and interventions. Data Management and Security: Created a secure database using MongoDB to store and manage sensitive user data, with robust encryption and privacy protection measures. Integration and Scalability: Ensured the system could seamlessly integrate with existing platforms and scale to handle large volumes of data. Design Process This project involved teamwork between UI and UX designers to create an innovative solution. Our business and growth team stayed in constant communication, providing valuable insights throughout the process. Results Improved Efficiency: The AI-driven system reduced the time required for mental health assessments by 50%, allowing for quicker interventions. Enhanced Accuracy: Achieved an 85% accuracy rate in predicting mental health conditions, providing more reliable assessments. Scalability:  The solution scaled to analyze large volumes of data, handling thousands of videos and social media posts daily. Data Security: Implemented advanced data security measures, ensuring the privacy and protection of users’ information. Early Detection and Intervention: The system enabled early detection of mental health conditions, facilitating timely support and intervention. Harnessing AI to Predict Mental Health Conditions from Behaviors & Social Media Current Status The AI-driven mental health condition prediction system is fully operational, providing the Anxiety Awareness Organization with advanced tools to analyze behaviors and predict mental health conditions. The system has significantly improved the efficiency, accuracy, and scalability of mental health assessments, supporting the organization’s mission to raise awareness and provide timely interventions. Tech Stack POWERED BY

Staff Attendance with Face Recognition AI-Powered Attendance System Face Recognition Technology Automated Reporting Biometric Attendance School Management Integration Data Security Real-Time Monitoring Staff Attendance Tracking Overview A prestigious college in France needed an innovative solution to modernize its staff attendance tracking process. Traditional attendance systems were time-consuming, error-prone, and often led to inefficiencies in staff management. The school required a robust AI-powered face recognition system to ensure accurate, real-time attendance tracking, seamless integration with existing systems, and enhanced data security. Problem Traditional attendance systems were time-consuming and prone to errors, leading to inefficiencies in staff management. Paper-based methods or manual data entry lacked accuracy, resulting in potential miscounts and payroll discrepancies. The school administration required a modern solution to streamline the attendance tracking process and improve overall efficiency. Key Requirements Implementation of a robust and accurate AI-driven face recognition system capable of identifying staff members with high precision. Scalability to accommodate varying numbers of staff members in different schools. Development of an intuitive and user-friendly interface for staff members and administrators. Real-time attendance tracking to improve transparency and decision-making. Seamless integration with existing school management software and HR databases. Ensuring the highest level of data security and privacy protection for staff biometric information. About the Technology Used The attendance system utilized advanced AI and computer vision algorithms for face recognition, capturing and analyzing facial features of staff members. High-definition cameras were installed at school entrances to capture facial images and match them against the pre-registered staff database. The system was developed using a tech stack that included Python for the AI algorithms, OpenCV for image processing, TensorFlow for machine learning, and Node.js for backend development. The frontend interface was built using React, and MySQL was used for database management. Real-time attendance tracking was enabled through seamless integration with existing school management and HR systems, ensuring data accuracy and security. Our Solution Face Enrollment: Staff members’ faces were enrolled in the system during the onboarding process. The system generated a unique biometric template for each staff member to use during attendance tracking. Real-time Attendance Tracking: The system continuously monitored the entrance and updated the attendance records in real-time, providing accurate attendance data. Automated Reporting: The attendance system generated automated attendance reports for administrators and HR, saving time and effort. Integration: The solution seamlessly integrated with the school’s existing software and HR systems, reducing manual data entry tasks. Analytics and Insights: The system provided valuable attendance insights, such as tardiness patterns and average attendance rates, assisting in better staff management. Results 0 % Improved Efficiency: Reduced time spent on manual attendance tracking by 70%, allowing staff and administrators to focus on core responsibilities. 0 % Enhanced Accuracy: Achieved 95% accuracy in attendance data, minimizing errors and preventing unauthorized entry. 0 % Increased Transparency: Real-time attendance tracking provided 100% transparency to staff members and helped school administrators make informed decisions. 0 % Cost Savings: Automation and streamlined processes resulted in a 30% reduction in costs associated with traditional attendance methods. Current Status The face recognition-based attendance system is fully operational at the college, providing real-time, accurate attendance tracking for staff members. The system has modernized the attendance process, improved efficiency, and enhanced data security, meeting all the client’s requirements and expectations. Modernizing Attendance Tracking with Advanced Face Recognition Tech Stack POWERED BY

AI-Driven SCADA System Monitoring at AI-Driven SCADA Monitoring Desalination Plant Real-time Monitoring Proactive Maintenance SCADA System Security NVIDIA Jetson Nano OpenCV PyTorch Tesseract OCR Node-RED Integration Overview The world’s largest floating desalination plant required an advanced solution to enhance operational efficiency, ensure proactive maintenance, and improve system reliability. Traditional SCADA systems lacked real-time monitoring and proactive maintenance capabilities, often leading to unexpected downtimes and increased operational costs. An AI-driven monitoring system was implemented to provide real-time insights, secure data handling, and comprehensive analytics without direct network access. Problem 1. Traditional SCADA systems lacked comprehensive real-time monitoring, leading to delayed responses to operational anomalies. 2. Maintenance was often reactive due to the absence of real-time insights, resulting in unexpected downtimes and higher operational costs. 3. Direct network integration of monitoring tools posed significant security risks. 4. Managing and interpreting vast amounts of SCADA data manually was time-consuming and prone to errors. Key Requirements 1. Real-time monitoring of SCADA activities without direct network access. 2. Comprehensive analytics dashboard for operational insights. 3. Secure data handling and storage. 4. Detection of specific SCADA interface activities, including component recognition & OCR. 5. Seamless integration with existing workflows and systems. About the Technology Used The project leveraged the NVIDIA Jetson Nano platform for capturing and analyzing SCADA system outputs. Key technologies included GStreamer for video capture, OpenCV for image preprocessing, PyTorch for deep learning-based activity recognition, and Tesseract OCR for text recognition. A Cloud MongoDB database was implemented for secure, real-time data storage, and Node-RED was used for workflow management and real-time data visualization using MQTT. Solutions 1. Developed an AI-driven monitoring system utilizing the NVIDIA Jetson Nano platform to capture and analyze SCADA system outputs. 2. Implemented high-fidelity video capture from the SCADA system’s HDMI output using GStreamer. 3. Utilized OpenCV for image preprocessing, PyTorch for deep learning-based activity recognition, and Tesseract OCR for text recognition. 4. Implemented a Cloud MongoDB database for secure, real-time data storage. 5. Integrated Node-RED for workflow management and real-time data visualization using MQTT. 6. Developed scripts for system initialization, logging, and maintenance on the Jetson Nano hardware. 7. Implemented strict security protocols and regular backups to ensure data integrity. 8. Used template matching, feature detection, and machine learning for accurate component detection and continuous learning mechanisms. Revolutionizing Desalination with AI-Driven SCADA Monitoring Result Enhanced Monitoring: Provided real-time insights into SCADA activities without network access, reducing response times by 40%. 0 % Operational Efficiency: Reduced downtime by 30% and maintenance costs by 25% through proactive monitoring. 0 % Improved Security: Ensured secure data handling and storage, decreasing security incidents by 50%. 0 % Comprehensive Analytics: Delivered a detailed analytics dashboard for informed decision-making, improving operational decision accuracy by 35%. 0 % Current Status The AI-driven SCADA system monitoring solution is currently deployed at the world’s largest floating desalination plant, delivering real-time operational insights and enhancing the plant’s overall efficiency and reliability. The solution continues to provide significant improvements in monitoring, operational efficiency, and security. Tech Stack POWERED BY