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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>About - Garbage Detection</title>
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<link rel="stylesheet" href="{{ url_for('static', filename='style.css') }}">
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<link href="https://fonts.googleapis.com/css2?family=Roboto+Mono:wght@400;500&display=swap" rel="stylesheet">
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</head>
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<body>
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<nav class="navbar">
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<div class="nav-brand">Garbage Detection</div>
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<ul class="nav-links">
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<li><a href="/">Home</a></li>
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<li><a href="/about" class="active">About</a></li>
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<li><a href="/contact">Contact</a></li>
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</ul>
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</nav>
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<div class="container">
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<header>
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<h1>About</h1>
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<p class="subtitle">A cleaner future through AI.</p>
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</header>
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<section class="about-section">
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<p>
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Litter and waste management are critical challenges faced by both urban and rural areas.
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By optimizing the detection process, we aim to help communities and organizations maintain cleanliness and promote sustainability.
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</p>
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<p>
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At Garbage Detection, our goal is to harness the power of AI to foster healthier and cleaner environments.
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Our AI-driven system classifies images into “Clean” or “Dirty,” making it easier for municipalities and environmental organizations to monitor and improve public spaces.
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</p>
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<p>
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Using TensorFlow and Flask, our model analyzes images and categorizes them based on cleanliness.
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With support for bulk uploads, users can efficiently process multiple images at once, making large-scale cleanliness assessments quick and seamless.
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</p>
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<p>
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Join us in building a smarter, cleaner future—one image at a time!
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</p>
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</section>
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</div>
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<footer class="footer">
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<p>© 2025 Garbage Detection</p>
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</footer>
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</html>
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