portfolio-website/ai-property-recommender.html at main · MasterCoder667/portfolio-website · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>AI Property Recommender | Project</title>
    <link rel="stylesheet" href="style.css">
</head>
<body>

<header>
    <h1>AI-Powered Property Recommender</h1>
    <nav>
        <a href="index.html">Back to Portfolio</a>
    </nav>
</header>

<main class="section">
    <h2>Project Overview</h2>
    <p>
        Currently developing an <strong>AI-powered web application</strong> integrated with <strong>BuyRentRwanda.com</strong>,
        which recommends properties to users based on their preferences, browsing behavior, and real property data.
        The system leverages machine learning algorithms to provide personalized property suggestions for a better user experience.
    </p>

    <h2>Current Progress</h2>
    <ul class="features-list">
        <li>Developing backend algorithms for personalized property recommendations</li>
        <li>Integrating real property data dynamically into the AI system</li>
        <li>Strengthening skills in Python, machine learning, and full-stack development</li>
        <li>Working on performance optimization and scalable architecture</li>
    </ul>

    <h2>Technologies Used</h2>
    <p>Python, Machine Learning (ML), Pandas, NumPy, Flask/Django, JavaScript, HTML/CSS, Real Estate Data Integration</p>

    <h2>Outcome & Impact</h2>
    <p>
        This project aims to provide users with a personalized property search experience, improve engagement on
        BuyRentRwanda.com, and demonstrate practical skills in AI, data handling, and full-stack development.
    </p>


    <a href="#" class="button">Project In Progress</a>
</main>

<footer>
    &copy; 2025 Muheto Niyonemera. All rights reserved.
</footer>

</body>
</html>