Test automation framework
Easy-to-Use Framework for Automated Testing In today’s fast-paced development environment, reliable testing is essential. But building and maintaining automated tests often requires technical skills, which can be a barrier for many team members. Enter our innovative framework: a user-friendly solution that makes automated testing accessible to everyone, regardless of technical expertise. Why Choose This Framework? This framework empowers teams to create and manage automated tests with ease, offering features that streamline the entire testing process. Here’s what makes it stand out: Import Selenium IDE Sources Transitioning to automated testing is easier than ever. If you already use Selenium IDE, you can import your existing test scripts directly into the framework. This allows you to leverage your past work while providing the framework’s added capabilities for easier management and execution. Add Components Easily With our framework, adding and organizing test components is straightforward. You can modularize your tests by creating reusable components for common actions, making your test scripts more manageable and efficient. This feature also promotes better test coverage and reduces redundancy. Scheduling Test Cases Test scheduling is a critical feature, especially for large teams or projects with frequent code updates. Our framework allows you to schedule test cases to run automatically, ensuring continuous testing without manual intervention. Set tests to run overnight, during off-hours, or at regular intervals to catch bugs early and keep your application running smoothly. Email Test Reports Once tests are complete, it’s essential to share the results with the team promptly. Our framework sends automated email reports after every test run, providing a comprehensive summary of results. These reports keep everyone in the loop and help prioritize issues, speeding up resolution times. Scheduling Test Cases https://research.javra.com/wp-content/uploads/2024/11/QA-AutoPilot-1.mp4 Accessible to All: No Coding Required One of the biggest advantages of this framework is its accessibility. Unlike many other testing tools that require knowledge of programming languages or technical scripting, this framework enables anyone to write and execute automated tests without coding. The intuitive interface guides users through the process, empowering team members to contribute to testing efforts directly, regardless of technical background. Key Benefits Saves Time and Resources: Automate repetitive tests, freeing up team members to focus on more complex tasks. Improves Test Coverage: The framework’s easy-to-use features make it easier to create thorough, reusable test cases. Boosts Collaboration: With accessible features and automated reporting, everyone on the team can stay informed and involved. Conclusion Incorporating automated testing into your workflow no longer has to be complex or require extensive technical skills. This framework provides all the tools needed to simplify testing—from importing Selenium IDE resources to creating reusable components, scheduling tests, and sending automated reports. Embrace a more efficient and inclusive approach to automated testing today, and see the difference it can make for your team and projects!
Enhancing Email Data Processing with LLM
Enhancing Email Data Processing with LLM Efficient data processing is critical for businesses handling large volumes of information. Traditional methods for processing emails often involve complex steps like annotation, segmentation, and continuous retraining, which can be both time-consuming and resource-intensive. However, with the integration of a state-of-the-art large language model (LLM), we have achieved a breakthrough in email data processing that simplifies the workflow and boosts accuracy. Key Improvements with LLM Integration: No Need for Annotation Data Unlike previous models that required extensive labeled data, our LLM-based system can interpret and process emails without any annotation. This shift not only saves time but also reduces the dependency on manual data labeling. Faster Processing With the LLM, we no longer need to separate different sections of an email, such as the body and footer, for processing. The model can handle these elements seamlessly, enabling faster results and a more streamlined workflow. Eliminating the Need for Retraining Traditional models often require periodic retraining to stay relevant and effective. The adaptability of our LLM allows it to generate accurate results without the need for continuous retraining, further reducing maintenance efforts. Improved Accuracy Our system upgrade with the LLM has led to significant accuracy improvements. We are now experiencing fewer false positive predictions, increasing overall reliability by approximately 10%. Enhanced Data Extraction Capabilities With the LLM, extracting specific details from email content has become more straightforward. Whether it’s identifying extra flags, phone numbers, or other critical information, the LLM handles these tasks with ease, providing a richer and more versatile data extraction experience. How We Leverage Prompt Engineering To harness the capabilities of the LLM, we employ a technique known as prompt engineering. This process involves crafting precise instructions, or prompts, that guide the model’s behavior. Here’s an overview of our approach: Crafting the Ideal Prompt We start by defining a clear and effective prompt that instructs the LLM on what actions to perform. By showing some sample results, we guide the model to replicate specific actions in future tasks. Data Input and Model Predictions Once the prompt is established, we feed the data to the LLM. The model uses the prompt and provided data to generate accurate predictions, tailored to our requirements. Structured Response Generation We ensure that the model’s output is formatted according to the required schema. This structure is crucial for integrating predictions into our broader data processing pipeline. Prediction Display Finally, the model’s predictions are displayed in a user-friendly manner, allowing for easy review and analysis. The Future of Email Data Processing Integrating the LLM into our email data processing pipeline has streamlined operations, enhanced accuracy, and simplified data extraction. By eliminating the need for annotations and retraining, we’ve not only improved efficiency but also set a new standard for intelligent data processing in email management. As we continue to explore the possibilities of LLMs, we anticipate even more advancements in data processing. The future holds promising potential for further optimizing workflows and automating complex tasks, transforming how businesses manage and utilize their data.
Lettuce Analyzer Application
Lettuce Analyzer Application Javra Software has just launched the Lettuce Analyzer, a new mobile app designed to simplify the process of analyzing lettuce attributes. This Android app uses advanced image recognition technology to detect and measure lettuce heads directly from images, all with just a few taps. The Lettuce Analyzer leverages YOLOv8, a powerful object detection model, to identify each lettuce head in a photo and calculate its size and height. To ensure precise measurements, the app uses a clipboard with known dimensions as a reference object in the image. This allows it to convert pixel-based measurements into real-world dimensions. Key Features: Automatic Lettuce Detection: Instantly identifies each lettuce head in an image. Size and Height Measurement: Provides detailed measurements using a clipboard for accurate scaling. User-Friendly Interface: Users can upload an existing image or take one in real-time, then start analysis with a single tap. Data Summary Quickly displays total lettuce count, average size, and average height. This app is built for Android devices with at least 4GB of RAM, providing smooth performance for high-quality image processing. Users can capture real-time photos or analyze images from the gallery, making it flexible for various environments and needs. How It Works: Capture or Upload an Image Use your device’s camera to take a new photo or upload one from the gallery. Tap to Analyze Simply press “Analyze” to start detection. The app will recognize the lettuces and the reference clipboard. Instant Measurements The app calculates and displays key information, including lettuce count, average size, and average height. Javra Software’s Lettuce Analyzer app combines advanced technology with ease of use, making it a valuable tool for anyone who needs fast, accurate analysis of lettuce dimensions. This app is designed to streamline the measurement process and provide reliable data at the touch of a button. Download Download the Application
Smart Weight Serial Keyboard
Smart Weight Serial Keyboard Discover the Smart Weight Serial Keyboard, an advanced application by Javra Software designed to revolutionize how you capture and input data on your Android device. Developed natively in Core Java, this robust and efficient app seamlessly transfers data from connected serial devices as keyboard input to any Android application. Key Features: Seamless Data Capture Effortlessly capture data from serial devices and emulate keyboard input. Universal Compatibility Works with any Android application that accepts keyboard input. Robust Performance Developed in Core Java for optimal efficiency and reliability. Customizable Settings Easily configure serial communication parameters (baud rate, data bits, stop bits, and parity) to match your device. User-Friendly Interface Simple and intuitive interface ensures quick setup and hassle-free operation. How It Works: Connect Your Device Establish a connection with your serial device. Configure Parameters Adjust serial communication settings to match your device. Start Capturing Data Automatically convert captured data into keyboard input for any Android app. Versatile Applications: Ideal for various industries, our app simplifies data capture and input, enhancing productivity and performance. Whether you’re in retail, manufacturing, or logistics, Smart Weight Serial Keyboard ensures accurate and efficient data entry from weight scales, barcode scanners, and other serial devices. Download https://play.google.com/store/apps/details?id=javra.WeightSmart Documentation https://javrasoftware.sharepoint.com/:w:/r/sites/RDinAIML/_layouts/15/Doc2.aspx?action=edit&sourcedoc=%7B4759eaa1-250f-4abf-a0c0-47d6274e82fd%7D&wdOrigin=TEAMS-MAGLEV.teamsSdk_ns.rwc&wdExp=TEAMS-TREATMENT&wdhostclicktime=1722935761190&web=1 GIT https://git.javra.com/rnd/read-ohaus-data/-/tree/main?ref_type=heads
Clod and Tuber Detection
Clod and Tuber Detection In agriculture, where efficiency and quality are paramount, identifying and sorting objects like potatoes and stones can significantly impact productivity. Enter Clod and Tuber, a cutting-edge detection system we’ve developed to distinguish between these objects with remarkable accuracy. Leveraging advanced camera technology and machine learning, Clod and Tuber is setting a new standard for agricultural sorting, bringing both high-speed precision and plans for future innovation with a “tuber mode” that sorts potatoes by size for specific product uses. How Clod and Tuber Works: The Detection Process Our system uses a straightforward yet robust approach powered by real-time image capture and analysis: Camera Capture: A high-speed camera captures an image of each object, whether it’s a potato or a stone, providing the model with clear details. Model Analysis: Leveraging machine learning, Clod and Tuber identifies characteristics such as shape, texture, and color to classify each object with 97% accuracy. This seamless detection process, combining imaging and AI, delivers quick and accurate results for efficient sorting. Outstanding Accuracy and Performance: Our Clod and Tuber model stands out for its remarkable accuracy rate of 97%. After rigorous testing on thousands of samples, this model demonstrates reliable performance, reducing errors and safeguarding equipment from potential damage by foreign objects. Equipped to process one image per second, Clod and Tuber provides the speed needed to handle up to 10,000 objects in large-scale environments, making it ideal for high-demand agricultural operations. Future Expansion: The “Tuber Mode” for Potato Sizing Our next milestone with Clod and Tuber is the development of a “tuber mode,” enabling size-based sorting of potatoes. This feature will: Optimize Processing: By categorizing potatoes by size, “tuber mode” enhances product uniformity, essential for items like potato chips and fries. Streamline Production: Automated size sorting reduces manual labor and improves overall production efficiency. This expansion will elevate Clod and Tuber as an indispensable tool for potato producers looking to maintain quality and consistency. Advantages of Clod and Tuber for Manufacturers and Food Processors Clod and Tuber offers unique benefits to farmers and processors: Cost Savings and Consistency: Automation reduces labor costs and minimizes sorting errors. Improved Product Quality: Uniformly sized potatoes translate to high-quality products, enhancing consumer satisfaction. Beyond Potatoes: Future Potential of Clod and Tuber While Clod and Tuber currently focuses on potatoes and stones, its versatile technology opens up opportunities for broader applications, potentially enabling multi-crop sorting. Conclusion: Clod and Tuber Sets a New Standard In agricultural sorting, Clod and Tuber represents a breakthrough for efficiency, accuracy, and scalability. With its impressive performance and exciting “tuber mode” development, Clod and Tuber is not just a sorting solution; it’s a pathway to smarter, more automated agriculture.
Smart Count App
Smart Count App In the world of agriculture and produce management, precision and efficiency are key to success. Javra Software’s latest innovation, the Smart Count App, is designed to streamline and modernize the often labor-intensive task of vegetable counting and quality assessment. Utilizing advanced AI technology, this powerful tool makes managing produce more efficient, accurate, and insightful. Here’s how the Smart Count App is transforming vegetable counting for businesses of all sizes. Key Features of the Smart Count App Automated Counting Traditional methods of counting vegetables are time-consuming and prone to human error. With the Smart Count App, users can simply upload images of vegetables, and the app instantly takes over, precisely counting each item. Advanced AI algorithms analyze the image data, ensuring accurate counts without manual intervention. This automated feature frees up time, allowing businesses to focus on other critical operations. Color Detection for Quality Control Quality assessment is essential for maintaining standards in produce management. Smart Count goes beyond simple counting by detecting the dominant color of vegetables, a key indicator of freshness and quality. This feature empowers businesses to make more informed decisions about sorting, grading, and presenting their produce based on visual quality markers. Precision & Efficiency at Its Core Javra Software has crafted the Smart Count App with the goal of bringing high precision and operational efficiency to produce management. Whether a business is tracking inventory or classifying vegetables for sale, the app provides consistent accuracy, eliminating errors common in manual processes. The result is a streamlined workflow with fewer discrepancies, benefiting businesses by saving time and reducing labor costs. How Smart Count Benefits Your Business The Smart Count App is more than just a counting tool. It’s an intelligent solution for businesses looking to improve their produce management processes and overall productivity. By incorporating features like automated counting and color detection, the app not only reduces human effort but also provides valuable insights into inventory status and quality metrics. Here’s how it adds value: Increases Efficiency Automating the counting process means your team can complete tasks faster, enhancing productivity. Ensures Consistency Automated AI-based counting maintains uniformity across batches, minimizing inconsistencies. Supports Quality Control Color detection helps businesses maintain high standards by assessing the visual quality of produce, which can be especially helpful for branding and customer satisfaction. Easy-to-Use Interface With a user-friendly design, Smart Count is accessible for all users, regardless of their technical expertise, making it an ideal tool for a wide range of agricultural businesses. The Future of Produce Management with Smart Count As more businesses look toward technology to streamline operations, the Smart Count App from Javra Software stands out as a transformative tool in the agriculture sector. By reducing the manual effort associated with counting and quality checks, it allows businesses to focus on growth and sustainability. The combination of automated accuracy and quality insights makes Smart Count an invaluable asset in managing produce inventories efficiently. Smart Count by Javra Software is here to take the hassle out of vegetable counting, delivering precision and valuable insights directly to your fingertips. Download EnzaCounts.EnzaCounts-Signed 8-1 1.apk Documentation https://javrasoftware.sharepoint.com/:w:/r/sites/RDinAIML/_layouts/15/Doc2.aspx?action=edit&sourcedoc=%7B4759eaa1-250f-4abf-a0c0-47d6274e82fd%7D&wdOrigin=TEAMS-MAGLEV.teamsSdk_ns.rwc&wdExp=TEAMS-TREATMENT&wdhostclicktime=1722935761190&web=1 GIT https://git.javra.com/sutha022/enzacounts/-/tree/production?ref_type=heads
Javra Warehouse Position Tracker
Javra Warehouse Position Tracker In the fast-moving world of warehousing and logistics, efficiency is everything. That’s why Javra Software has developed the Javra Warehouse Position Tracker, an innovative solution designed to transform how you manage and track items in your warehouse. Say goodbye to manual tracking, guesswork, and delays. With this intelligent system, item tracking becomes automatic, paths are optimized, and every corner of your warehouse is within reach—literally and digitally. Why Javra Warehouse Position Tracker? Tracking items in a warehouse can be challenging, time-consuming, and prone to human error. Javra’s Warehouse Position Tracker offers an advanced way to oversee and streamline your entire warehouse layout and item locations, making manual errors and misnavigation a thing of the past. The application’s smart technology simplifies your tracking process, helping you improve accuracy and productivity across operations. Key features include: 3D Room and Warehouse Layouts – Build detailed diagrams of your warehouse spaces, including all dimensions and the locations of key points like anchors, tags, obstacles, and items. Real-Time Item Tracking and Route Suggestions – Find what you’re looking for faster with continuous, automated item tracking. The application recommends the shortest path to your desired item, displaying the path and distance in real-time for a smooth, efficient experience. Proximity and Destination Alerts – No more hunting down items or guessing your location. The application alerts you as you approach the target and confirms when you’ve reached it. https://vimeo.com/1009051282 A Closer Look at the Tracker’s Features 1. Room and Warehouse Layout Creation With Javra’s Warehouse Position Tracker, you can create detailed 3D models of your storage spaces. This feature allows you to add dimensions and position elements such as anchors, tags, obstacles, and items to be tracked. By capturing this data, the application creates an interactive 3D environment that mirrors your warehouse, making tracking as easy as navigating the map on your screen. 2. Intelligent Item Tracking and Path Optimization Our Warehouse Position Tracker doesn’t just locate items—it finds the fastest route to each one. Leveraging real-time data, the application shows the shortest path to your items, along with proximity alerts that help guide you accurately. Distance updates appear as you move, ensuring that every step you take is efficient and goal-oriented. 3. Real-Time Updates and Alerts The app continuously displays proximity alerts, letting you know as you approach an item and confirming your arrival at the destination. This dynamic feedback makes the item retrieval process smooth and fast, keeping you focused on moving forward without any of the usual tracking guesswork. 4. Empowering Users with Intuitive Functionalities The Javra Warehouse Position Tracker is designed to empower users with easy-to-use, highly intuitive functionalities: Configuration ScreenManage settings and preferences seamlessly through an easy-access configuration screen that lets you adapt the application to specific needs. 3D Layout of Room/WarehouseBuild, adjust, and interact with your warehouse layout in a 3D space. Whether placing Anchors, marking Obstacles, or tracking Items, our layout designer allows you to visualize every detail before you even step inside. Live Item TrackingWith the Javra Position Tracker, items update in real-time on your screen, and the application continuously calculates the shortest route for you. This intelligent tracking makes locating and retrieving items as efficient as possible. From Manual Tracking to Automation In traditional warehouse settings, item tracking can be a slow, manual task that relies heavily on intuition or guesswork, leading to occasional errors and inefficiencies. With Javra’s Warehouse Position Tracker, this old process is replaced by an automated system that’s accurate, immediate, and effortless. By storing all item locations, obstacles, and dimensions in a central database, the application uses this information to provide real-time tracking, accurate location data, and optimized paths. Users can trust the system’s guidance, allowing them to reach items faster, without missteps or detours. Unlock New Levels of Warehouse Efficiency with Javra The Javra Warehouse Position Tracker is more than a solution—it’s an essential tool for modern warehousing. By automating tracking, providing real-time updates, and optimizing navigation, Javra’s system reduces the time and effort required to manage large storage areas. Embrace the future of warehouse management, where productivity is maximized, and tracking is a seamless experience. Let Javra Warehouse Position Tracker be your guide to a more efficient, organized, and intelligent warehouse. Download Download the App Application View the Application
Logo Categorization
Logo Categorization This project is about analyzing logos to identify patterns in customer usage and trends. It helps businesses find out which customers are using logos that look similar and understand these customers better by looking at their order and product information. Find Customers with Similar Logos: Imagine a large database of logos used by various customers. This project scans through all these logos and groups together the ones that look alike. For example, if multiple companies use similar colors, shapes, or symbols in their logos, these logos will be grouped into clusters. Identify the Most Common Logo Design After grouping similar logos, the project identifies the group (or cluster) with the largest number of logos. This cluster likely represents the most popular or widely used design, meaning many customers are using similar styles or themes in their branding. Gather Information on Customers Once the biggest logo cluster is identified, the project digs deeper to find out more about the customers in this group. It collects data like the names of these customers, how many times they’ve ordered, and the number of different products they’ve purchased. This information provides insights into customer behavior and the popularity of certain design trends. Organize the Information: All this information is organized neatly. The logos are sorted into folders based on similarity, so you can easily see which ones look alike. Unusual logos that don’t match any others are kept separately, as well as any damaged files that couldn’t be processed. Why This is Useful Market Research: By finding similar logos and their customer information, businesses can identify trends and see what types of designs appeal to different audiences. Customer Insights: Knowing which customers have similar branding and seeing their order habits helps companies better understand customer preferences. Competitive Analysis: If multiple companies have similar-looking logos, it could mean they’re competing in the same market or appealing to similar audiences. This data helps businesses understand their competitive landscape. Overall, this project is like a visual audit of logo usage, giving insights into customer branding choices and trends in a way that is organized and easy to analyze. View the Application http://poc.javra.com/