{
    "version": "https://jsonfeed.org/version/1",
    "title": "Colorie",
    "home_page_url": "https://michaelamay.com/",
    "feed_url": "https://michaelamay.com/feed.json",
    "description": "Colorie - Single column blog and portfolio Jekyll theme",
    "icon": "https://michaelamay.com/apple-touch-icon.png",
    "favicon": "https://michaelamay.com/favicon.ico",
    "expired": false,
    
    "author":  {
        "name": "Colorie",
        "url": null,
        "avatar": null
    },
    
"items": [
    
        {
            "id": "https://michaelamay.com/2026/08/20/ai-tool-orchestrator",
            "title": "AI Tool Orchestrator <br><font style=\"color:gray\"><small>AI Tool Orchestrator Web Application</small></font>",
            "summary": "AI system orchestrating 191 tools across Gmail, Slack, Drive, GitHub & more. Built with FastAPI, GPT-4.1-mini, and a dynamic multi-step tool routing loop.",
            "content_text": "Agentic AI orchestrator that routes natural language queries across 191 tools spanning Gmail, Slack, Google Drive, Calendar, Linear, GitHub, and Perplexity. Uses a two-step approach: a fast classifier narrows 191 tools down to the relevant subset, then a dynamic agentic loop executes multi-step workflows, handles errors, and returns a complete tool call log.Technologies and Tools Used:React, Typescript, FASTAPI, Codex (AI assisted development), Claude, Visual Studios, Python, Railway, Vercel, Command Line, APIVisit website • View Source Code - Frontend • View Source Code - Backend",
            "content_html": "<style>h1{    color: #45ccb8;}</style><p>Agentic AI orchestrator that routes natural language queries across 191 tools spanning Gmail, Slack, Google Drive, Calendar, Linear, GitHub, and Perplexity. Uses a two-step approach: a fast classifier narrows 191 tools down to the relevant subset, then a dynamic agentic loop executes multi-step workflows, handles errors, and returns a complete tool call log.</p><p></p><p><span style=\"font-weight:900; margin: 0;\">Technologies and Tools Used:</span>React, Typescript, FASTAPI, Codex (AI assisted development), Claude, Visual Studios, Python, Railway, Vercel, Command Line, API</p><p></p><p><a href=\"https://ai-tool-orchestrator-ui.vercel.app\">Visit website</a> • <a href=\"https://github.com/Michaelamay/ai-tool-orchestrator-ui\">View Source Code - Frontend</a> • <a href=\"https://github.com/Michaelamay/ai-tool-orchestrator-api\">View Source Code - Backend</a></p><!-- Image section --><p><img src=\"/images/ai-tool-orchestrator/homepage.png\" alt=\"AI Tool Orchestrator home page\" border=\"3\" /><img src=\"/images/ai-tool-orchestrator/chat-prompt.png\" alt=\"AI Tool Orchestrator chat prompt\" border=\"3\" /><img src=\"/images/ai-tool-orchestrator/chat-response.png\" alt=\"AI Tool Orchestrator chat response\" border=\"3\" /><img src=\"/images/ai-tool-orchestrator/tool-call.png\" alt=\"AI Tool Orchestrator tool call\" border=\"3\" /></p>",
            "url": "https://michaelamay.com/2026/08/20/ai-tool-orchestrator",
            
            
            
            
            
            "date_published": "2026-08-20T00:00:00+00:00",
            "date_modified": "2026-08-20T00:00:00+00:00",
            
                "author":  {
                "name": "Colorie",
                "url": null,
                "avatar": null
                }
                
            
        },
    
        {
            "id": "https://michaelamay.com/2026/07/29/taskableai",
            "title": "Taskable AI App <br><font style=\"color:gray\"><small>AI Task Manager Application</small></font>",
            "summary": "Taskable is a Spring Boot Java 17 personal task manager with CRUD task management, an H2-backed local database, and AI-powered task suggestion, summarization, and breakdown features.",
            "content_text": "Taskable is a Spring Boot Java 17 personal task manager that combines standard CRUD task management with AI-powered task suggestion, summarization, and breakdown features. It includes a vanilla JavaScript frontend, an H2 in-memory database for local development, and Claude-backed endpoints that can generate and persist subtasks for existing tasks.Technologies and Tools Used:Codex (AI assisted development), Spring Boot, Java 17, Maven, H2 db, JPA, HTML, CSS, Javascript, Vibe-coding, Visual Studios.Visit website • View Source Code • See Prompt Transcript",
            "content_html": "<style>h1{    color: #45ccb8;}</style><p>Taskable is a Spring Boot Java 17 personal task manager that combines standard CRUD task management with AI-powered task suggestion, summarization, and breakdown features. It includes a vanilla JavaScript frontend, an H2 in-memory database for local development, and Claude-backed endpoints that can generate and persist subtasks for existing tasks.</p><p></p><p><span style=\"font-weight:900; margin: 0;\">Technologies and Tools Used:</span>Codex (AI assisted development), Spring Boot, Java 17, Maven, H2 db, JPA, HTML, CSS, Javascript, Vibe-coding, Visual Studios.</p><p></p><p><a href=\"https://taskable.fly.dev/\">Visit website</a> • <a href=\"https://github.com/Michaelamay/taskable\">View Source Code</a> • <a href=\"https://github.com/Michaelamay/taskable/blob/main/transcript.md\">See Prompt Transcript</a></p><!-- Image section --><p><img src=\"/images/taskable/taskable1.png\" alt=\"Taskable dashboard\" border=\"3\" /><img src=\"/images/taskable/taskable2.png\" alt=\"Create task\" border=\"3\" /><img src=\"/images/taskable/taskable3.png\" alt=\"Break down task\" border=\"3\" /><img src=\"/images/taskable/taskable4.png\" alt=\"Summarize task\" border=\"3\" /></p>",
            "url": "https://michaelamay.com/2026/07/29/taskableai",
            
            
            
            
            
            "date_published": "2026-07-29T00:00:00+00:00",
            "date_modified": "2026-07-29T00:00:00+00:00",
            
                "author":  {
                "name": "Colorie",
                "url": null,
                "avatar": null
                }
                
            
        },
    
        {
            "id": "https://michaelamay.com/2026/01/29/healthcare-management-app",
            "title": "Healthcare Management App <br><font style=\"color:gray\"><small>Online Patient Services Platform</small></font>",
            "summary": "A platform where patients can easily connect and book appointments with doctors.",
            "content_text": "Healthcare Management App is a platform where patients can easily connect, register, and book appointments from a list of primary licensed physicians. Patients can enter all of their personal information including emergency contact, insurance, upload photo identification, enter a reason for the visit, and much more. All of the patients information is securely store in the Appwrite Cloud database.Technologies and Tools Used:Typescript, Next.js, React, CSS, Tailwind, Cloud Appwrite Relational Database, Vercel, Visual Studios.Visit website • View Source Code",
            "content_html": "<style>h1{    color: #45ccb8;}</style><p>Healthcare Management App is a platform where patients can easily connect, register, and book appointments from a list of primary licensed physicians. Patients can enter all of their personal information including emergency contact, insurance, upload photo identification, enter a reason for the visit, and much more. All of the patients information is securely store in the Appwrite Cloud database.</p><p></p><p><span style=\"font-weight:900; margin: 0;\">Technologies and Tools Used:</span>Typescript, Next.js, React, CSS, Tailwind, Cloud Appwrite Relational Database, Vercel, Visual Studios.</p><p></p><p><a href=\"https://healthcare-main-beige.vercel.app/\">Visit website</a> • <a href=\"https://github.com/Michaelamay/healthcare-main\">View Source Code</a></p><!-- Image section --><p><img src=\"/images/healthcare/healthcareapp-one.png\" alt=\"Healthcare registration screen\" border=\"3\" /><img src=\"/images/healthcare/healthcareapp-two.png\" alt=\"Continue patient registration\" border=\"3\" /><img src=\"/images/healthcare/healthcareapp-three.png\" alt=\"Patient medical information\" border=\"3\" /><img src=\"/images/healthcare/healthcareapp-four.png\" alt=\"Identification and verification\" border=\"3\" /><img src=\"/images/healthcare/healthcareapp-five.png\" alt=\"Patient consent form\" border=\"3\" /><img src=\"/images/healthcare/healthcareapp-six.png\" alt=\"Create a new appointment\" border=\"3\" /><img src=\"/images/healthcare/healthcareapp-seven.png\" alt=\"Appointment confirmation\" border=\"3\" /></p>",
            "url": "https://michaelamay.com/2026/01/29/healthcare-management-app",
            
            
            
            
            
            "date_published": "2026-01-29T00:00:00+00:00",
            "date_modified": "2026-01-29T00:00:00+00:00",
            
                "author":  {
                "name": "Colorie",
                "url": null,
                "avatar": null
                }
                
            
        },
    
        {
            "id": "https://michaelamay.com/2025/12/05/top-ten-stock-market-symbols",
            "title": "Top Ten Stock Market Symbols <br><font style=\"color:gray\"><small>Information/Educational Website</small></font>",
            "summary": "Lorem Ipsum is simply dummy text",
            "content_text": "A JAVA program that calculates the top ten stock market symbols according to volume from a feed of input data. The volume of any particular stock can be define by E (order executed ) + P (trade)  = Volume. The program assumes input order messages from the feed pitch data file below which contains approxmatiely 2000 lines of order messages ready to be processed. It will execute any of the order messages: Add, Order Executed, Order Cancel, Trade, Trade Break, Auction Update, or Auction Summary, and return the top ten stocks by volume.Furthermore, you will find the offical specification to the order message here. Visit specification document.To run the program on your computer:      Make sure you have Java installed, you can confirm by entering ‘Java -version’ on the command line or terminal. If Java is install on your machine, you should get the version number upon return.        Extract the files in the zip file; open the command line and navigate to the directory where the files are extracted, and simply type ‘java PitchDriver’, the class will will look for and find the feed pitch data file automatically and return the results as shown in the screenshot below.  Technologies and Tools Used:Java, Hashmaps, Trees, EclipseView source code •Download Program Zip File •",
            "content_html": "<style>h1{    color: Black;}</style><p>A JAVA program that calculates the top ten stock market symbols according to volume from a feed of input data. The volume of any particular stock can be define by E (order executed ) + P (trade)  = Volume. The program assumes input order messages from the feed pitch data file below which contains approxmatiely 2000 lines of order messages ready to be processed. It will execute any of the order messages: Add, Order Executed, Order Cancel, Trade, Trade Break, Auction Update, or Auction Summary, and return the top ten stocks by volume.</p><p>Furthermore, you will find the offical specification to the order message here. <a href=\"https://github.com/Michaelamay/StockMarketSymbols/blob/main/PITCH_Specification.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Visit specification document.</a></p><p>To run the program on your computer:</p><ol>  <li>    <p>Make sure you have Java installed, you can confirm by entering ‘Java -version’ on the command line or terminal. If Java is install on your machine, you should get the version number upon return.</p>  </li>  <li>    <p>Extract the files in the zip file; open the command line and navigate to the directory where the files are extracted, and simply type ‘java PitchDriver’, the class will will look for and find the feed pitch data file automatically and return the results as shown in the screenshot below.</p>  </li></ol><p></p><p><span style=\"font-weight:900; margin: 0;\">Technologies and Tools Used:</span>Java, Hashmaps, Trees, Eclipse</p><p></p><p><a href=\"https://github.com/Michaelamay/StockMarketSymbols/blob/main/PitchDriver.java\">View source code</a> •<a href=\"https://github.com/Michaelamay/StockMarketSymbols/raw/refs/heads/main/StockMarketSymbols.zip\" download=\"true\">Download Program Zip File</a> •</p><!-- Image section --><p><img src=\"/images/top-ten-stock-market-symbols/command-line.png\" alt=\"Top Ten Stock Market Symbols command-line output\" border=\"3\" /></p>",
            "url": "https://michaelamay.com/2025/12/05/top-ten-stock-market-symbols",
            
            
            
            
            
            "date_published": "2025-12-05T00:00:00+00:00",
            "date_modified": "2025-12-05T00:00:00+00:00",
            
                "author":  {
                "name": "Colorie",
                "url": null,
                "avatar": null
                }
                
            
        },
    
        {
            "id": "https://michaelamay.com/2025/12/05/nasa-astronomy-picture-of-the-day",
            "title": "NASA Astronomy Picture of the Day <br><font style=\"color:gray\"><small>Educational Science Website</small></font>",
            "summary": "Lorem Ipsum is simply dummy text",
            "content_text": "This project uses an API from api.nasa.gov, to obtain a response in json format. It then works by retrieving the revelant image urls from the response, and displays them on the browser. API Key is needed.Technologies and Tools Used: HTML, CSS, Javascript, API, Visual StudioVisit website • View Source Code",
            "content_html": "<style>h1{    color: Black;}</style><p>This project uses an API from api.nasa.gov, to obtain a response in json format. It then works by retrieving the revelant image urls from the response, and displays them on the browser. API Key is needed.</p><p></p><p><span style=\"font-weight:900; margin: 0;\">Technologies and Tools Used:</span> HTML, CSS, Javascript, API, Visual Studio</p><p></p><p><a href=\"https://michaelamay.github.io/MarsRoversPics/\">Visit website</a> • <a href=\"https://github.com/Michaelamay/MarsRoversPics\">View Source Code</a></p><!-- Image section --><p><img src=\"/images/nasa-astronomy-picture-of-the-day/mars-home-page.png\" alt=\"NASA Astronomy Picture of the Day home page\" border=\"3\" /></p>",
            "url": "https://michaelamay.com/2025/12/05/nasa-astronomy-picture-of-the-day",
            
            
            
            
            
            "date_published": "2025-12-05T00:00:00+00:00",
            "date_modified": "2025-12-05T00:00:00+00:00",
            
                "author":  {
                "name": "Colorie",
                "url": null,
                "avatar": null
                }
                
            
        },
    
        {
            "id": "https://michaelamay.com/2025/12/03/meal-search-hub",
            "title": "Meal Search Hub <br><font style=\"color:gray\"><small>Food Search Website</small></font>",
            "summary": "Lorem Ipsum is simply dummy text",
            "content_text": "Meal Search Hub is a website which allows users to search all kinds of receipes from around the world. A user simply needs to enter a keyword such as vegan lasgna and it will query www.TheMealDB.com API, load and save the data into a persistent database, and then render those results on the page. Users will be able to see all necessary ingredients to make their favorite meals.Technologies and Tools Used:API, PHP, JavaScript, HTML, CSS, SQL, Visual StudioWarning: Chrome browser recommended. If you encounter a Not Secure or Your Connection is not private message on Google Chrome either just click on Advanced or go to site settings on your Chrome browser, scroll down to Insecure content and select Allow.Visit website • View Source Code",
            "content_html": "<style>h1{    color: Black;}</style><p>Meal Search Hub is a website which allows users to search all kinds of receipes from around the world. A user simply needs to enter a keyword such as vegan lasgna and it will query www.TheMealDB.com API, load and save the data into a persistent database, and then render those results on the page. Users will be able to see all necessary ingredients to make their favorite meals.</p><p></p><p><span style=\"font-weight:900; margin: 0;\">Technologies and Tools Used:</span>API, PHP, JavaScript, HTML, CSS, SQL, Visual Studio</p><p></p><!-- <p>Check out <a href=\"https://www.freecodecamp.org/\" target=\"_blank\">freeCodeCamp</a>.</p> --><p>Warning: Chrome browser recommended. If you encounter a Not Secure or Your Connection is not private message on Google Chrome either just click on Advanced or go to site settings on your Chrome browser, scroll down to Insecure content and select Allow.<br /><br /><a href=\"https://mealsearchonline.online/fs/index.php\">Visit website</a> • <a href=\"https://github.com/Michaelamay/FoodStore\">View Source Code</a></p><!-- Image section --><p><img src=\"/images/meal-search-hub/food-store.png\" alt=\"Meal Search Hub results page\" border=\"3\" /></p>",
            "url": "https://michaelamay.com/2025/12/03/meal-search-hub",
            
            
            
            
            
            "date_published": "2025-12-03T00:00:00+00:00",
            "date_modified": "2025-12-03T00:00:00+00:00",
            
                "author":  {
                "name": "Colorie",
                "url": null,
                "avatar": null
                }
                
            
        },
    
        {
            "id": "https://michaelamay.com/2025/06/07/employee-system",
            "title": "Employee System <br><font style=\"color:gray\"><small>HR Website</small></font>",
            "summary": "Lorem Ipsum is simply dummy text",
            "content_text": "Employee System is a platform that allows users to add a new employee, update their personal information with a provided ID, delete an employee(s), and view all current active employees on the database.Technologies and Tools Used:Spring, Java, MVC, JSP, XML, REST, HTML, CSS, Javascript, API, h2, Tomcat, HTTTP Methods, Eclipse IDEVisit website • View Source Code",
            "content_html": "<style>h1{    color: Black;}</style><p>Employee System is a platform that allows users to add a new employee, update their personal information with a provided ID, delete an employee(s), and view all current active employees on the database.</p><p></p><p><span style=\"font-weight:900; margin: 0;\">Technologies and Tools Used:</span>Spring, Java, MVC, JSP, XML, REST, HTML, CSS, Javascript, API, h2, Tomcat, HTTTP Methods, Eclipse IDE</p><p></p><p><a href=\"https://www.employeesystem.online\">Visit website</a> • <a href=\"https://github.com/Michaelamay/EmployeeSysRepo\">View Source Code</a></p><!-- Image section --><p><img src=\"/images/employee-system/employee-system.png\" alt=\"Employee System home page\" border=\"3\" /></p>",
            "url": "https://michaelamay.com/2025/06/07/employee-system",
            
            
            
            
            
            "date_published": "2025-06-07T00:00:00+00:00",
            "date_modified": "2025-06-07T00:00:00+00:00",
            
                "author":  {
                "name": "Colorie",
                "url": null,
                "avatar": null
                }
                
            
        },
    
        {
            "id": "https://michaelamay.com/2024/03/25/chuck-norris-speaks",
            "title": "Chuck Norris Speaks <br><font style=\"color:gray\"><small>Entertainment Website</small></font>",
            "summary": "Lorem Ipsum is simply dummy text",
            "content_text": "Chuck Norris Speaks is a website in which users can click on a button to get popular and humorous Chuck Norris quotes. Chuck Norris or Carlos Ray Norris is an american martial artist, screenwriter, and action movie star.Technologies and Tools Used:HTML, CSS, Javascript, Visual StudioVisit website • View Source Code",
            "content_html": "<style>h1{    color: Black;}</style><p>Chuck Norris Speaks is a website in which users can click on a button to get popular and humorous Chuck Norris quotes. Chuck Norris or Carlos Ray Norris is an american martial artist, screenwriter, and action movie star.</p><p></p><p><span style=\"font-weight:900; margin: 0;\">Technologies and Tools Used:</span>HTML, CSS, Javascript, Visual Studio</p><p></p><p><a href=\"https://michaelamay.github.io/Chuck/\">Visit website</a> • <a href=\"https://github.com/Michaelamay/Chuck\">View Source Code</a></p><!-- Image section --><p><img src=\"/images/chuck-norris-speaks/chuck-home.png\" alt=\"Chuck Norris Speaks home page\" border=\"3\" /></p>",
            "url": "https://michaelamay.com/2024/03/25/chuck-norris-speaks",
            
            
            
            
            
            "date_published": "2024-03-25T00:00:00+00:00",
            "date_modified": "2024-03-25T00:00:00+00:00",
            
                "author":  {
                "name": "Colorie",
                "url": null,
                "avatar": null
                }
                
            
        },
    
        {
            "id": "https://michaelamay.com/2020/03/15/twitter-viewer",
            "title": "Twitter Viewer <br><font style=\"color:gray\"><small>Desktop application</small></font>",
            "summary": "Enter a keyword to view and save related tweets via Twitter's API.",
            "content_text": "With this simple application users can search for tweets in the search box and have the most recent 20 revelant tweets display in list order. Users can also save any of the tweets by simply clicking on the check next to the tweet under the save column. You can then view all of your save tweets by clicking on the archiver button which will pop out a second window. In addition, viewers can read the source code of any tweet by checking the box under the pop column and then the pop button for that tweet.Technologies and Tools Used:Java, Twitter’s API, H2 RDBMS, NetBeans, EclipseDownload • View Source CodeHow to run app via the command line",
            "content_html": "<style>    h1{        color: skyblue;    }</style><p>With this simple application users can search for tweets in the search box and have the most recent 20 revelant tweets display in list order. Users can also save any of the tweets by simply clicking on the check next to the tweet under the save column. You can then view all of your save tweets by clicking on the archiver button which will pop out a second window. In addition, viewers can read the source code of any tweet by checking the box under the pop column and then the pop button for that tweet.</p><p></p><p><span style=\"font-weight:900; margin: 0;\">Technologies and Tools Used:</span>Java, Twitter’s API, H2 RDBMS, NetBeans, Eclipse</p><p></p><!-- <strong>Written:</strong> Java, Twitter's API, H2 RDBMS, NetBeans --><p><a href=\"https://github.com/Michaelamay/TwitterViewer/raw/master/dist/TweetViewer.jar\">Download</a> • <a href=\"https://github.com/Michaelamay/TwitterViewer\">View Source Code</a></p><p>How to run app via the command line<img src=\"/images/twitter-viewer/command-line-instructions.png\" alt=\"Twitter Viewer command-line instructions\" border=\"3\" /><img src=\"/images/twitter-viewer/search.png\" alt=\"Twitter Viewer search screen\" border=\"3\" /><img src=\"/images/twitter-viewer/source-tweet.png\" alt=\"Twitter Viewer saved tweet source\" border=\"3\" /></p>",
            "url": "https://michaelamay.com/2020/03/15/twitter-viewer",
            
            
            
            
            
            "date_published": "2020-03-15T00:00:00+00:00",
            "date_modified": "2020-03-15T00:00:00+00:00",
            
                "author":  {
                "name": "Colorie",
                "url": null,
                "avatar": null
                }
                
            
        },
    
        {
            "id": "https://michaelamay.com/2020/03/11/furnitureland",
            "title": "Furnitureland <br><font style=\"color:gray\"><small>E-commerce Website</small></font>",
            "summary": "Lorem Ipsum is simply dummy text",
            "content_text": "A mock website that sells furniture. Furnitureland lists multiple items for sale and has a dynamic array of categories. When users enter the site, only the hottest and featured items are listed in the large-scale window. This captures the attention of users immediately. Users can also click the next and previous arrow to see other items. Furthermore, the scrolling down on the page, this section focuses solely on individuals’ items. The pages contain great practice of footer and headers ideally for e-commerce sites.Technologies and Tools Used:HTML, CSS, Javascript, jQuery, Bootstrap, Visual StudioVisit website • View Source Code",
            "content_html": "<style>h1{    color: #45ccb8;}</style><p>A mock website that sells furniture. Furnitureland lists multiple items for sale and has a dynamic array of categories. When users enter the site, only the hottest and featured items are listed in the large-scale window. This captures the attention of users immediately. Users can also click the next and previous arrow to see other items. Furthermore, the scrolling down on the page, this section focuses solely on individuals’ items. The pages contain great practice of footer and headers ideally for e-commerce sites.</p><p></p><p><span style=\"font-weight:900; margin: 0;\">Technologies and Tools Used:</span>HTML, CSS, Javascript, jQuery, Bootstrap, Visual Studio</p><p></p><p><a href=\"https://michaelamay.github.io/Furnitureland/\">Visit website</a> • <a href=\"https://github.com/Michaelamay/Furnitureland\">View Source Code</a></p><!-- Image section --><p><img src=\"/images/furnitureland/main-screen.png\" alt=\"Furnitureland home screen\" border=\"3\" /><img src=\"/images/furnitureland/middle-column-items.png\" alt=\"Furnitureland product listings\" border=\"3\" /><img src=\"/images/furnitureland/footer.png\" alt=\"Furnitureland page footer\" border=\"3\" /></p>",
            "url": "https://michaelamay.com/2020/03/11/furnitureland",
            
            
            
            
            
            "date_published": "2020-03-11T00:00:00+00:00",
            "date_modified": "2020-03-11T00:00:00+00:00",
            
                "author":  {
                "name": "Colorie",
                "url": null,
                "avatar": null
                }
                
            
        },
    
        {
            "id": "https://michaelamay.com/2020/01/05/seatly",
            "title": "Seatly <br><font style=\"color:gray\"><small>Online reservation website</small></font>",
            "summary": "Lorem Ipsum is simply dummy text",
            "content_text": "Seatly was created as a final project for an HCI course. It aims to provide students a live visual representation of available seats in the library. Users can view 4 different floorplans that represent John T Richardson Library at DePaul University.The idea is for students to hit a clicker at their table upon seating down which will reflect a red filled box on the map.Likewise, green filled boxes means that the seat is currently vacant. Finally, users can also reserve large furniture chairs which has limited availability.Technologies and Tools Used:HTML, CSS, Javascript, Visual StudioVisit website • View Source Code",
            "content_html": "<style>h1{    color: #5bc0de;}</style><p>Seatly was created as a final project for an HCI course. It aims to provide students a live visual representation of available seats in the library. Users can view 4 different floorplans that represent John T Richardson Library at DePaul University.The idea is for students to hit a clicker at their table upon seating down which will reflect a red filled box on the map.Likewise, green filled boxes means that the seat is currently vacant. Finally, users can also reserve large furniture chairs which has limited availability.</p><p></p><p><span style=\"font-weight:900; margin: 0;\">Technologies and Tools Used:</span></p><p></p><p>HTML, CSS, Javascript, Visual Studio</p><p></p><!-- URL --><p><a href=\"https://michaelamay.github.io/DePaul-Library-Interface/\">Visit website</a> • <a href=\"https://github.com/Michaelamay/DePaul-Library-Interface\">View Source Code</a></p><!-- Image section --><p><img src=\"/images/seatly/select.png\" alt=\"Seatly seat selection screen\" border=\"3\" /><img src=\"/images/seatly/floorplan-availability.png\" alt=\"Seatly floor-plan availability\" border=\"3\" /><img src=\"/images/seatly/reservation.png\" alt=\"Seatly reservation screen\" border=\"3\" /></p>",
            "url": "https://michaelamay.com/2020/01/05/seatly",
            
            
            
            
            
            "date_published": "2020-01-05T00:00:00+00:00",
            "date_modified": "2020-01-05T00:00:00+00:00",
            
                "author":  {
                "name": "Colorie",
                "url": null,
                "avatar": null
                }
                
            
        },
    
        {
            "id": "https://michaelamay.com/2018/12/05/skeleton",
            "title": "Skeleton <br><font style=\"color:gray\"><small>Machine Learning Program</small></font>",
            "summary": "Lorem Ipsum is simply dummy text",
            "content_text": "Skeleton was developed at Yale University’s 36-hour annual hackathon and was built by a four-person team — Michael Amay, Adam Wolnikowskie, Michael Vargas, and Evan Visher. The challenge, posed by Ivanti, was to explore how Machine Learning could be applied if a Remote Desktop application were redesigned from the ground up. Our solution aimed to replace traditional bitmap and video streaming with a smarter, data-driven alternative.On the host machine, we captured live screen frames and processed them using OpenCV to isolate and identify UI regions within each frame. Those regions were then piped through Google’s Tesseract OCR engine via Python and PyCharm, using the pytesseract wrapper to extract text and its positional metadata — bounding-box coordinates and layout structure. Each frame was serialized into a lightweight JSON payload and transmitted to the client. On the receiving end, the JSON was deserialized and each text element was reconstructed onto a canvas at its original coordinates, reproducing the host’s screen without ever transmitting a raw image or video stream.For text-heavy environments like terminals, documents, and code editors, this approach proved significantly more bandwidth-efficient than traditional streaming. The core pipeline — OpenCV for frame analysis, Tesseract for OCR, and Python tying it all together — kept the solution technically grounded while putting Machine Learning at the center of the capture process. That earned our team the Best Use of Machine Learning award at the event.Technologies and Tools Used:Python, YOLO (Real-Time Object Detection), Google’s Tesseract OCR, Machine Learning, PyCharmView Source Code",
            "content_html": "<style>h1{    color: Black;}</style><p>Skeleton was developed at Yale University’s 36-hour annual hackathon and was built by a four-person team — Michael Amay, Adam Wolnikowskie, Michael Vargas, and Evan Visher. The challenge, posed by Ivanti, was to explore how Machine Learning could be applied if a Remote Desktop application were redesigned from the ground up. Our solution aimed to replace traditional bitmap and video streaming with a smarter, data-driven alternative.</p><p>On the host machine, we captured live screen frames and processed them using OpenCV to isolate and identify UI regions within each frame. Those regions were then piped through Google’s Tesseract OCR engine via Python and PyCharm, using the pytesseract wrapper to extract text and its positional metadata — bounding-box coordinates and layout structure. Each frame was serialized into a lightweight JSON payload and transmitted to the client. On the receiving end, the JSON was deserialized and each text element was reconstructed onto a canvas at its original coordinates, reproducing the host’s screen without ever transmitting a raw image or video stream.</p><p>For text-heavy environments like terminals, documents, and code editors, this approach proved significantly more bandwidth-efficient than traditional streaming. The core pipeline — OpenCV for frame analysis, Tesseract for OCR, and Python tying it all together — kept the solution technically grounded while putting Machine Learning at the center of the capture process. That earned our team the Best Use of Machine Learning award at the event.</p><p></p><p><span style=\"font-weight:900; margin: 0;\">Technologies and Tools Used:</span>Python, YOLO (Real-Time Object Detection), Google’s Tesseract OCR, Machine Learning, PyCharm</p><p></p><p><a href=\"https://github.com/Michaelamay/Skeleton-1\">View Source Code</a></p><!-- Image section --><p><img src=\"/images/skeleton/predictions.png\" alt=\"Skeleton predictions screen\" border=\"3\" /><img src=\"/images/skeleton/group.jpg\" alt=\"Skeleton project team\" border=\"3\" /></p>",
            "url": "https://michaelamay.com/2018/12/05/skeleton",
            
            
            
            
            
            "date_published": "2018-12-05T00:00:00+00:00",
            "date_modified": "2018-12-05T00:00:00+00:00",
            
                "author":  {
                "name": "Colorie",
                "url": null,
                "avatar": null
                }
                
            
        }
    
    ]
}