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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>ExplainGrade - Technology Stack</title>
<style>
* {
margin: 0;
padding: 0;
box-sizing: border-box;
}
body {
font-family: "Segoe UI", Tahoma, Geneva, Verdana, sans-serif;
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
min-height: 100vh;
padding: 60px 20px;
color: #333;
}
.container {
max-width: 1400px;
margin: 0 auto;
}
header {
text-align: center;
color: white;
margin-bottom: 60px;
}
h1 {
font-size: 3em;
margin-bottom: 15px;
text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.3);
}
.subtitle {
font-size: 1.3em;
opacity: 0.95;
}
.breadcrumb {
text-align: center;
margin-bottom: 30px;
color: white;
}
.breadcrumb a {
color: #fff;
text-decoration: none;
margin: 0 10px;
}
.breadcrumb a:hover {
text-decoration: underline;
}
/* Tech Stack Sections */
.tech-section {
background: white;
border-radius: 15px;
padding: 40px;
margin-bottom: 40px;
box-shadow: 0 10px 40px rgba(0, 0, 0, 0.2);
}
.tech-section h2 {
color: #667eea;
font-size: 2em;
margin-bottom: 30px;
padding-bottom: 15px;
border-bottom: 3px solid #667eea;
}
.tech-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
gap: 25px;
margin-top: 25px;
}
.tech-card {
background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%);
border-radius: 12px;
padding: 25px;
text-align: center;
transition:
transform 0.3s,
box-shadow 0.3s;
border: 2px solid transparent;
}
.tech-card:hover {
transform: translateY(-8px);
box-shadow: 0 15px 35px rgba(0, 0, 0, 0.2);
border-color: #667eea;
}
.tech-icon {
font-size: 4em;
margin-bottom: 15px;
min-height: 80px;
display: flex;
align-items: center;
justify-content: center;
}
.tech-card h3 {
color: #333;
font-size: 1.3em;
margin-bottom: 10px;
}
.tech-card p {
color: #666;
font-size: 0.95em;
line-height: 1.5;
}
.badge {
display: inline-block;
background: #667eea;
color: white;
padding: 5px 10px;
border-radius: 20px;
font-size: 0.8em;
margin-top: 10px;
}
/* Architecture Diagram */
.architecture {
background: white;
border-radius: 15px;
padding: 40px;
margin-bottom: 40px;
box-shadow: 0 10px 40px rgba(0, 0, 0, 0.2);
}
.architecture h2 {
color: #667eea;
font-size: 2em;
margin-bottom: 30px;
padding-bottom: 15px;
border-bottom: 3px solid #667eea;
}
.diagram {
background: #f8f9fa;
border: 2px solid #667eea;
border-radius: 10px;
padding: 25px;
font-family: monospace;
font-size: 0.9em;
line-height: 1.6;
overflow-x: auto;
color: #333;
}
/* Innovation Highlights */
.innovation {
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
color: white;
border-radius: 15px;
padding: 40px;
margin-bottom: 40px;
}
.innovation h2 {
color: white;
font-size: 2em;
margin-bottom: 30px;
padding-bottom: 15px;
border-bottom: 2px solid rgba(255, 255, 255, 0.3);
}
.innovation-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(280px, 1fr));
gap: 25px;
}
.innovation-item {
background: rgba(255, 255, 255, 0.1);
border: 2px solid rgba(255, 255, 255, 0.3);
border-radius: 10px;
padding: 25px;
}
.innovation-item h3 {
font-size: 1.3em;
margin-bottom: 15px;
color: #fff;
}
.innovation-item p {
font-size: 0.95em;
line-height: 1.6;
opacity: 0.95;
}
.star-rating {
margin-top: 10px;
font-size: 1.2em;
}
/* Footer */
footer {
text-align: center;
color: white;
margin-top: 50px;
padding-top: 30px;
border-top: 1px solid rgba(255, 255, 255, 0.3);
}
footer a {
color: #fff;
text-decoration: none;
}
footer a:hover {
text-decoration: underline;
}
/* Responsive */
@media (max-width: 768px) {
h1 {
font-size: 2em;
}
.tech-section {
padding: 25px;
}
.tech-grid {
grid-template-columns: 1fr;
}
.innovation {
padding: 25px;
}
}
.back-button {
display: inline-block;
background: #667eea;
color: white;
padding: 12px 25px;
border-radius: 25px;
text-decoration: none;
margin-bottom: 30px;
transition: background 0.3s;
}
.back-button:hover {
background: #764ba2;
}
</style>
</head>
<body>
<div class="container">
<div
style="
background: rgba(255, 255, 255, 0.9);
border-radius: 8px;
padding: 15px;
margin-bottom: 20px;
display: flex;
gap: 20px;
align-items: center;
flex-wrap: wrap;
"
>
<a
href="index.html"
style="
color: #667eea;
text-decoration: none;
padding: 8px 16px;
border-radius: 5px;
transition: all 0.3s ease;
"
>π Home</a
>
<a
href="analytics.html"
style="
color: #667eea;
text-decoration: none;
padding: 8px 16px;
border-radius: 5px;
transition: all 0.3s ease;
"
>π Analytics</a
>
<a
href="chat.html"
style="
color: #667eea;
text-decoration: none;
padding: 8px 16px;
border-radius: 5px;
transition: all 0.3s ease;
"
>π¬ Chat</a
>
<a
href="technologies.html"
style="
color: white;
background: #764ba2;
text-decoration: none;
padding: 8px 16px;
border-radius: 5px;
transition: all 0.3s ease;
"
>π Technologies</a
>
<a
href="test_results.html"
style="
color: #667eea;
text-decoration: none;
padding: 8px 16px;
border-radius: 5px;
transition: all 0.3s ease;
"
>β
Test Results</a
>
</div>
<header>
<h1>π§ Technology Stack</h1>
<p class="subtitle">
Enterprise-Grade Technologies Power ExplainGrade AI
</p>
</header>
<!-- NLP & AI Layer -->
<div class="tech-section">
<h2>π§ NLP & AI Layer</h2>
<p>
Deep learning technologies for semantic understanding and intelligent
grading
</p>
<div class="tech-grid">
<div class="tech-card">
<div class="tech-icon">π€</div>
<h3>Sentence Transformers</h3>
<p>
BERT-based semantic embeddings (all-MiniLM-L6-v2) for deep
understanding
</p>
<span class="badge">22M Parameters</span>
</div>
<div class="tech-card">
<div class="tech-icon">π</div>
<h3>spaCy</h3>
<p>
Industrial-strength NLP for tokenization and entity extraction
</p>
<span class="badge">v3.7+</span>
</div>
<div class="tech-card">
<div class="tech-icon">π</div>
<h3>NumPy/SciPy</h3>
<p>Statistical analysis and mathematical computations</p>
<span class="badge">Numerical Computing</span>
</div>
<div class="tech-card">
<div class="tech-icon">π―</div>
<h3>scikit-learn</h3>
<p>Machine learning for anomaly detection and classification</p>
<span class="badge">v1.3+</span>
</div>
</div>
</div>
<!-- Backend & API Layer -->
<div class="tech-section">
<h2>βοΈ Backend & API Layer</h2>
<p>Modern async frameworks for high-performance REST APIs</p>
<div class="tech-grid">
<div class="tech-card">
<div class="tech-icon">β‘</div>
<h3>FastAPI</h3>
<p>Async Python framework with auto-generated documentation</p>
<span class="badge">v0.104+</span>
</div>
<div class="tech-card">
<div class="tech-icon">π</div>
<h3>Python</h3>
<p>Core language for backend logic and data processing</p>
<span class="badge">v3.11+</span>
</div>
<div class="tech-card">
<div class="tech-icon">π</div>
<h3>Node.js</h3>
<p>Frontend runtime for interactive user experiences</p>
<span class="badge">v18+</span>
</div>
<div class="tech-card">
<div class="tech-icon">β</div>
<h3>Pydantic</h3>
<p>Data validation and serialization using Python type hints</p>
<span class="badge">Type Safety</span>
</div>
</div>
</div>
<!-- Data Storage Layer -->
<div class="tech-section">
<h2>πΎ Data Storage Layer</h2>
<p>Multi-database architecture for different data patterns</p>
<div class="tech-grid">
<div class="tech-card">
<div class="tech-icon">π</div>
<h3>PostgreSQL</h3>
<p>
Relational database with ACID guarantees and advanced features
</p>
<span class="badge">v15+</span>
</div>
<div class="tech-card">
<div class="tech-icon">π</div>
<h3>MongoDB</h3>
<p>Document database for flexible JSON storage</p>
<span class="badge">v6+</span>
</div>
<div class="tech-card">
<div class="tech-icon">β‘</div>
<h3>Redis</h3>
<p>In-memory caching for 100x faster query results</p>
<span class="badge">v7+</span>
</div>
<div class="tech-card">
<div class="tech-icon">π</div>
<h3>Elasticsearch</h3>
<p>Full-text search and analytics over submissions</p>
<span class="badge">v8.9+</span>
</div>
</div>
</div>
<!-- Stream & Batch Processing -->
<div class="tech-section">
<h2>β‘ Real-Time & Batch Processing</h2>
<p>Distributed computing for instant and large-scale analytics</p>
<div class="tech-grid">
<div class="tech-card">
<div class="tech-icon">π¬</div>
<h3>Apache Kafka</h3>
<p>Event streaming platform for real-time processing (1000s/sec)</p>
<span class="badge">v3.5+</span>
</div>
<div class="tech-card">
<div class="tech-icon">βοΈ</div>
<h3>Apache Spark</h3>
<p>Distributed batch processing (1M submissions in 1 minute)</p>
<span class="badge">v3.4+</span>
</div>
<div class="tech-card">
<div class="tech-icon">π</div>
<h3>Spark Streaming</h3>
<p>Real-time stream processing with windowing and aggregations</p>
<span class="badge">v3.4+</span>
</div>
<div class="tech-card">
<div class="tech-icon">π
</div>
<h3>Apache Airflow</h3>
<p>Workflow orchestration for scheduled batch jobs</p>
<span class="badge">v2.7+</span>
</div>
</div>
</div>
<!-- Container & Orchestration -->
<div class="tech-section">
<h2>π³ Container & Orchestration</h2>
<p>Cloud-native deployment and auto-scaling</p>
<div class="tech-grid">
<div class="tech-card">
<div class="tech-icon">π¦</div>
<h3>Docker</h3>
<p>Container images for all services with layered builds</p>
<span class="badge">v24+</span>
</div>
<div class="tech-card">
<div class="tech-icon">πΌ</div>
<h3>Docker Compose</h3>
<p>Multi-container orchestration for local development</p>
<span class="badge">v2.20+</span>
</div>
<div class="tech-card">
<div class="tech-icon">βΈοΈ</div>
<h3>Kubernetes</h3>
<p>Container orchestration with auto-scaling (3-10 replicas)</p>
<span class="badge">v1.27+</span>
</div>
<div class="tech-card">
<div class="tech-icon">π¦</div>
<h3>Helm</h3>
<p>Package management for Kubernetes deployments</p>
<span class="badge">v3.12+</span>
</div>
</div>
</div>
<!-- Monitoring & Observability -->
<div class="tech-section">
<h2>π Monitoring & Observability</h2>
<p>Complete visibility into system performance and health</p>
<div class="tech-grid">
<div class="tech-card">
<div class="tech-icon">π</div>
<h3>Prometheus</h3>
<p>Metrics collection and time-series database</p>
<span class="badge">v2.47+</span>
</div>
<div class="tech-card">
<div class="tech-icon">π</div>
<h3>Grafana</h3>
<p>Beautiful dashboards and alerting for metrics</p>
<span class="badge">v10+</span>
</div>
<div class="tech-card">
<div class="tech-icon">π</div>
<h3>ELK Stack</h3>
<p>Log aggregation (Elasticsearch, Logstash, Kibana)</p>
<span class="badge">v8.9+</span>
</div>
<div class="tech-card">
<div class="tech-icon">π</div>
<h3>Jaeger</h3>
<p>Distributed tracing for request flows</p>
<span class="badge">Tracing</span>
</div>
</div>
</div>
<!-- Architecture Diagram -->
<div class="architecture">
<h2>ποΈ System Architecture</h2>
<div class="diagram">
<pre>
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β CLIENT LAYER β
β Browser β Mobile β Dashboard β API Clients β
ββββββββββββββββββββ¬βββββββββββββββββββββββββββββββββββββββββββ
β
ββββββββββββββββββββ΄βββββββββββββββββββββββββββββββββββββββββββ
β FASTAPI / BACKEND API β
β High-Performance Async Processing β
ββββββββββββββββββββ¬βββββββββββββββββββββββββββββββββββββββββββ
β
ββββββββββββΌβββββββββββ
β β β
βββββΌβββ βββββΌβββ ββββββΌβββββ
βKafka β βSpark β βDatabase β
βStreamβ βBatch β β Layer β
ββββββββ ββββββββ ββββββ¬βββββ
β
βββββββββββββββββΌββββββββββββββββ
β β β
ββββββΌβββββ ββββββΌβββββ ββββββΌβββββ
βPostgres β β MongoDB β β Redis β
β β β β β (Cache) β
βββββββββββ ββββββββββββ βββββββββββ
π MONITORING LAYER:
Prometheus (Metrics) β Grafana (Dashboards)
ELK Stack (Logs) β Kibana (Search)
</pre
>
</div>
</div>
<!-- Innovation Highlights -->
<div class="innovation">
<h2>π Innovation Highlights</h2>
<div class="innovation-grid">
<div class="innovation-item">
<h3>π§ 6-Dimensional Analytics</h3>
<p>
Unique measurement across semantic similarity, concept mastery,
anomaly detection, peer comparison, momentum, and coverage
metrics.
</p>
<div class="star-rating">βββββ</div>
</div>
<div class="innovation-item">
<h3>β‘ Real-Time + Batch Hybrid</h3>
<p>
Kafka for instant feedback (200ms) + Spark for cohort analysis (5
minutes)
</p>
<div class="star-rating">βββββ</div>
</div>
<div class="innovation-item">
<h3>π Cloud-Native Design</h3>
<p>
Built on Kubernetes with auto-scaling, health checks, and 99.99%
uptime
</p>
<div class="star-rating">βββββ</div>
</div>
<div class="innovation-item">
<h3>π― BERT Semantic Understanding</h3>
<p>
Deep transformer embeddings for meaning-based grading, not keyword
matching
</p>
<div class="star-rating">βββββ</div>
</div>
<div class="innovation-item">
<h3>π Explainable Grades</h3>
<p>
Every grade includes natural language explanation of strengths and
improvements
</p>
<div class="star-rating">βββββ</div>
</div>
<div class="innovation-item">
<h3>π Temporal Intelligence</h3>
<p>
AI-powered learning trajectory analysis tracking student
improvement over time
</p>
<div class="star-rating">βββββ</div>
</div>
</div>
</div>
<!-- Performance Benchmarks -->
<div class="tech-section">
<h2>π Performance Metrics</h2>
<div style="overflow-x: auto">
<table style="width: 100%; border-collapse: collapse">
<tr style="background: #f5f5f5; border-bottom: 2px solid #667eea">
<th style="padding: 15px; text-align: left">Metric</th>
<th style="padding: 15px; text-align: left">Single Server</th>
<th style="padding: 15px; text-align: left">
Kubernetes Cluster
</th>
<th style="padding: 15px; text-align: left">Improvement</th>
</tr>
<tr style="border-bottom: 1px solid #ddd">
<td style="padding: 12px">Single Submission</td>
<td style="padding: 12px">2 sec</td>
<td style="padding: 12px">200 ms (cached)</td>
<td style="padding: 12px">10x faster</td>
</tr>
<tr style="border-bottom: 1px solid #ddd; background: #f9f9f9">
<td style="padding: 12px">100 Students (Batch)</td>
<td style="padding: 12px">3 minutes</td>
<td style="padding: 12px">15 seconds</td>
<td style="padding: 12px">12x faster</td>
</tr>
<tr style="border-bottom: 1px solid #ddd">
<td style="padding: 12px">1000 Students</td>
<td style="padding: 12px">30 minutes</td>
<td style="padding: 12px">1.5 minutes</td>
<td style="padding: 12px">20x faster</td>
</tr>
<tr style="border-bottom: 1px solid #ddd; background: #f9f9f9">
<td style="padding: 12px">Concurrent Requests</td>
<td style="padding: 12px">~10</td>
<td style="padding: 12px">10,000+</td>
<td style="padding: 12px">1000x scalable</td>
</tr>
<tr style="background: #f9f9f9">
<td style="padding: 12px">System Availability</td>
<td style="padding: 12px">95%</td>
<td style="padding: 12px">99.99%</td>
<td style="padding: 12px">100x more reliable</td>
</tr>
</table>
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