challenges.json

[
    {
        "project": "Bulk Image Resizer",
        "challenge": "Memory Management",
        "description": "Processing massive folders caused Python to crash due to RAM exhaustion.",
        "solution": "Switched to lazy-loading images and clear-memory garbage collection after each save.",
        "status": "Resolved"
    },
    {
        "project": "Health Tracker App",
        "challenge": "Library Compatibility",
        "description": "The latest Flet version had breaking changes and installation conflicts with the Python runtime.",
        "solution": "Performed a version rollback to an earlier, stable Flet release to restore UI rendering and functionality.",
        "status": "Resolved"
    },
    {
        "project": "Patch Gap Auditor",
        "challenge": "API Performance",
        "description": "Sequential vulnerability lookups for each package created significant network latency.",
        "solution": "Implemented the OSV querybatch endpoint to audit the entire environment in a single request.",
        "status": "Resolved"
    },
    {
        "project": "UK Real Estate Scraper",
        "challenge": "Bot Detection",
        "description": "The site kept blocking my Selenium requests after only 5-10 pages of data.",
        "solution": "Implemented custom User-Agent rotation and added random 'human' delays between clicks.",
        "status": "Resolved"
    },
    {
        "project": "NHS Performance Dashboard",
        "challenge": "Data Cleaning & Standardization",
        "description": "Inconsistent date formats and missing values in the raw healthcare datasets caused plotting errors in the dashboard.",
        "solution": "Built a preprocessing pipeline using Pandas to normalize datetime objects and apply forward-fill logic for missing metrics.",
        "status": "Resolved"
    },
    {
        "project": "Geo-Loan UK Predictor",
        "challenge": "State Synchronization (Folium/JS)",
        "description": "Python variables wouldn't update based on Leaflet.js map clicks, creating a disconnect between the UI and the backend.",
        "solution": "Injected custom JavaScript into the Folium header to bridge the gap via a Python-Flask endpoint for real-time state updates.",
        "status": "Resolved"
    },
    {
        "project": "Bus App",
        "challenge": "Silent Failures (Kivy)",
        "description": "Application would crash on launch with zero traceback or logs, specifically during the KV language parsing phase.",
        "solution": "Implemented a modular 'Build-and-Test' approach, isolating UI elements into separate files to identify the specific layout syntax causing the silent crash.",
        "status": "Resolved"
    },
    {
        "project": "Mini Embedding Explorer.",
        "challenge": "App kept crashing eventhough code was running ok.",
        "description": "App kept crashing for unknown reason.",
        "solution": "Generated a saftey check to prevent app from crashing.",
        "status": "Resolved"
    },
    {
        "project": "news scraper",
        "challenge": "scrapling had issues scraping details from website",
        "description": "had to look through documentation and get help from AI to get a fix",
        "solution": "used playwright with scrapling to get the dashboard to work",
        "status": "Resolved"
    }
]