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Update src/app/page.tsx

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bender
2026-03-12 17:15:05 +00:00
parent c4e5614ce4
commit a6da9efda9
1 changed files with 58 additions and 30 deletions
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src/app/page.tsx
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@@ -71,13 +71,13 @@ export default function HomePage() {
<HeroBillboard
title="Intelligent Accounting Analytics: Enterprise Profit Forecasting System"
description="Advanced machine learning-powered platform for real-time financial analysis, profit prediction, and business intelligence. Transform your accounting data into actionable insights with our enterprise-grade forecasting system."
background={{ variant: "plain" }}
background={{ variant: "animated-grid" }}
tag="Advanced AI Analytics"
tagIcon={Sparkles}
tagAnimation="slide-up"
buttons={[
{ text: "Launch Dashboard", href: "/dashboard" },
{ text: "Learn More", href: "#features" },
{ text: "Learn More", href: "features" },
]}
buttonAnimation="slide-up"
imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/a-modern-clean-software-dashboard-interf-1773335193843-3c4b4eb4.png"
@@ -96,9 +96,11 @@ export default function HomePage() {
description="Our Intelligent Accounting Analytics System leverages machine learning regression models to forecast enterprise profits with unprecedented accuracy. Designed for educational excellence and practical business application, this comprehensive platform integrates data visualization, predictive analytics, and AI-powered recommendations to empower financial decision-making."
metrics={[
{
value: "95%+", title: "Prediction Accuracy Rate"},
value: "95%+", title: "Prediction Accuracy Rate"
},
{
value: "Real-Time", title: "Data Processing Speed"},
value: "Real-Time", title: "Data Processing Speed"
},
]}
imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/a-clean-professional-financial-data-inpu-1773335191893-8d4389c9.png"
imageAlt="Financial Data Input Interface"
@@ -120,7 +122,8 @@ export default function HomePage() {
id: "1", title: "Financial Data Input Module", description:
"Seamlessly input and manage financial data including monthly revenue, operational costs, marketing expenses, and employee salary expenses with real-time validation and error checking.", media: {
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/a-clean-professional-financial-data-inpu-1773335191893-8d4389c9.png"},
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/a-clean-professional-financial-data-inpu-1773335191893-8d4389c9.png"
},
items: [
{ icon: Database, text: "Multi-field data entry forms" },
{ icon: CheckCircle, text: "Automated data validation" },
@@ -133,7 +136,8 @@ export default function HomePage() {
id: "2", title: "Advanced ML Prediction Engine", description:
"Proprietary machine learning regression model trained on extensive financial datasets to deliver accurate profit forecasting based on multiple financial indicators and historical patterns.", media: {
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/a-professional-data-visualization-showin-1773335191639-f62dbbb1.png"},
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/a-professional-data-visualization-showin-1773335191639-f62dbbb1.png"
},
items: [
{ icon: Brain, text: "Regression-based predictions" },
{ icon: TrendingUp, text: "Seasonal trend analysis" },
@@ -146,7 +150,8 @@ export default function HomePage() {
id: "3", title: "Interactive Data Visualization", description:
"Professional-grade charts and graphs displaying revenue trends, expense breakdowns, and profit predictions with interactive filtering and drill-down capabilities.", media: {
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/a-professional-revenue-trends-visualizat-1773335192060-fbac457d.png"},
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/a-professional-revenue-trends-visualizat-1773335192060-fbac457d.png"
},
items: [
{ icon: LineChart, text: "Revenue trend analysis" },
{ icon: PieChart, text: "Expense distribution charts" },
@@ -159,7 +164,8 @@ export default function HomePage() {
id: "4", title: "CSV Dataset Management", description:
"Upload and process large financial datasets from CSV files with automatic parsing, validation, and integration into the forecasting model for bulk analysis.", media: {
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/a-modern-file-upload-interface-for-csv-d-1773335193067-2db0959a.png"},
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/a-modern-file-upload-interface-for-csv-d-1773335193067-2db0959a.png"
},
items: [
{ icon: Upload, text: "Drag-and-drop file upload" },
{ icon: FileCheck, text: "CSV format validation" },
@@ -172,7 +178,8 @@ export default function HomePage() {
id: "5", title: "AI-Powered Business Recommendations", description:
"Intelligent analysis engine that generates actionable business recommendations based on financial data patterns, market trends, and forecasting results.", media: {
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/a-professional-ai-powered-business-recom-1773335193567-6d51e7f9.png"},
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/a-professional-ai-powered-business-recom-1773335193567-6d51e7f9.png"
},
items: [
{ icon: Lightbulb, text: "Smart recommendations" },
{ icon: Target, text: "Actionable insights" },
@@ -198,16 +205,20 @@ export default function HomePage() {
metrics={[
{
id: "1", icon: TrendingUp,
title: "Prediction Accuracy", value: "95%+"},
title: "Prediction Accuracy", value: "95%+"
},
{
id: "2", icon: Zap,
title: "Processing Speed", value: "<100ms"},
title: "Processing Speed", value: "<100ms"
},
{
id: "3", icon: Users,
title: "Enterprise Users", value: "500+"},
title: "Enterprise Users", value: "500+"
},
{
id: "4", icon: Database,
title: "Datasets Processed", value: "10,000+"},
title: "Datasets Processed", value: "10,000+"
},
]}
animationType="slide-up"
textboxLayout="default"
@@ -227,32 +238,38 @@ export default function HomePage() {
id: "1", name: "Dr. Sarah Chen", handle: "@drsarahchen", testimonial:
"The IAEFS platform has revolutionized how our finance department approaches forecasting. The accuracy and speed of predictions have directly improved our quarterly planning process. Highly recommended for enterprises.", rating: 5,
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/professional-headshot-of-a-university-pr-1773335191476-5686aeaa.png", imageAlt: "Dr. Sarah Chen"},
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/professional-headshot-of-a-university-pr-1773335191476-5686aeaa.png", imageAlt: "Dr. Sarah Chen"
},
{
id: "2", name: "Michael Rodriguez", handle: "@mrodriguez", testimonial:
"Implementing this system reduced our forecasting time by 70% while improving accuracy. The ML model is incredibly sophisticated yet intuitive to use. Outstanding platform for financial analytics.", rating: 5,
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/professional-headshot-of-a-university-re-1773335191572-188747dc.png", imageAlt: "Michael Rodriguez"},
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/professional-headshot-of-a-university-re-1773335191572-188747dc.png", imageAlt: "Michael Rodriguez"
},
{
id: "3", name: "Professor Elena Ivanova", handle: "@prof_ivanova", testimonial:
"As an academic advisor, I'm impressed by both the technical sophistication and educational value of this system. It's perfect for demonstrating real-world ML applications in finance.", rating: 5,
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/professional-headshot-of-a-university-st-1773335192039-ac4d7f37.png", imageAlt: "Professor Elena Ivanova"},
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/professional-headshot-of-a-university-st-1773335192039-ac4d7f37.png", imageAlt: "Professor Elena Ivanova"
},
{
id: "4", name: "James Thompson", handle: "@jthompson_cfo", testimonial:
"The AI-powered recommendations have provided insights we wouldn't have discovered through traditional analysis. This is enterprise-grade analytics made accessible to organizations of all sizes.", rating: 5,
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/professional-headshot-of-a-university-pr-1773335191476-5686aeaa.png", imageAlt: "James Thompson"},
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/professional-headshot-of-a-university-pr-1773335191476-5686aeaa.png", imageAlt: "James Thompson"
},
{
id: "5", name: "Lisa Park", handle: "@lisapark_analyst", testimonial:
"The data visualization features are exceptional. Being able to see revenue trends, expense breakdowns, and profit predictions in one integrated interface has transformed our decision-making.", rating: 5,
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/professional-headshot-of-a-university-re-1773335191572-188747dc.png", imageAlt: "Lisa Park"},
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/professional-headshot-of-a-university-re-1773335191572-188747dc.png", imageAlt: "Lisa Park"
},
{
id: "6", name: "Dr. Rajesh Patel", handle: "@dr_rpatel", testimonial:
"This platform represents the future of corporate finance. The machine learning integration is seamless, and the system maintains academic rigor while delivering practical business value.", rating: 5,
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/professional-headshot-of-a-university-st-1773335192039-ac4d7f37.png", imageAlt: "Dr. Rajesh Patel"},
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AqzqzcOmjChz5fpsGh2JQ2Xvk6/professional-headshot-of-a-university-st-1773335192039-ac4d7f37.png", imageAlt: "Dr. Rajesh Patel"
},
]}
showRating={true}
animationType="slide-up"
@@ -271,28 +288,36 @@ export default function HomePage() {
faqs={[
{
id: "1", title: "How accurate are the profit predictions?", content:
"Our machine learning regression model achieves 95%+ accuracy on historical datasets. Accuracy depends on data quality and relevance. The system continuously learns and improves predictions as new data is provided. Confidence intervals are displayed for all forecasts to indicate prediction reliability."},
"Our machine learning regression model achieves 95%+ accuracy on historical datasets. Accuracy depends on data quality and relevance. The system continuously learns and improves predictions as new data is provided. Confidence intervals are displayed for all forecasts to indicate prediction reliability."
},
{
id: "2", title: "What financial data does the system require?", content:
"The core system requires: monthly revenue, operational costs, marketing expenses, and employee salary expenses. The model can incorporate additional variables like seasonal trends, market indicators, and historical forecasts for enhanced predictions. CSV bulk upload is supported for batch data processing."},
"The core system requires: monthly revenue, operational costs, marketing expenses, and employee salary expenses. The model can incorporate additional variables like seasonal trends, market indicators, and historical forecasts for enhanced predictions. CSV bulk upload is supported for batch data processing."
},
{
id: "3", title: "Can I upload historical data in CSV format?", content:
"Yes! The platform supports CSV file uploads for bulk data processing. Simply prepare your data with columns for date, revenue, operational costs, marketing expenses, and salaries. The system validates and parses the data automatically, then integrates it into the forecasting model."},
"Yes! The platform supports CSV file uploads for bulk data processing. Simply prepare your data with columns for date, revenue, operational costs, marketing expenses, and salaries. The system validates and parses the data automatically, then integrates it into the forecasting model."
},
{
id: "4", title: "What kind of business recommendations does the AI provide?", content:
"The AI analysis engine generates recommendations based on: expense trends, profit margin patterns, seasonal variations, growth opportunities, cost optimization suggestions, and risk alerts. Recommendations are prioritized by potential impact and include supporting data visualization."},
"The AI analysis engine generates recommendations based on: expense trends, profit margin patterns, seasonal variations, growth opportunities, cost optimization suggestions, and risk alerts. Recommendations are prioritized by potential impact and include supporting data visualization."
},
{
id: "5", title: "Is my financial data secure?", content:
"Yes. The platform implements enterprise-grade security including: encrypted data transmission (HTTPS), secure backend storage, role-based access controls, audit logging, and GDPR compliance. Data is never shared with third parties and can be deleted on request."},
"Yes. The platform implements enterprise-grade security including: encrypted data transmission (HTTPS), secure backend storage, role-based access controls, audit logging, and GDPR compliance. Data is never shared with third parties and can be deleted on request."
},
{
id: "6", title: "What is the technology stack?", content:
"Frontend: HTML5, CSS3, JavaScript with modern dashboard UI patterns. Backend: Python Flask framework for REST API and data processing. Machine Learning: Python with scikit-learn for regression modeling and predictions. Database: Secure data storage with automated backups."},
"Frontend: HTML5, CSS3, JavaScript with modern dashboard UI patterns. Backend: Python Flask framework for REST API and data processing. Machine Learning: Python with scikit-learn for regression modeling and predictions. Database: Secure data storage with automated backups."
},
{
id: "7", title: "How often are predictions updated?", content:
"Predictions are generated in real-time when you submit new financial data. The system processes updates instantly and displays forecasts within milliseconds. For CSV batch uploads, bulk predictions are generated and displayed immediately after processing."},
"Predictions are generated in real-time when you submit new financial data. The system processes updates instantly and displays forecasts within milliseconds. For CSV batch uploads, bulk predictions are generated and displayed immediately after processing."
},
{
id: "8", title: "Can the system handle multiple forecasting scenarios?", content:
"Yes. You can input different financial scenarios (optimistic, realistic, pessimistic) and compare predictions side-by-side. This helps with strategic planning and risk assessment. The system stores historical scenarios for comparison and trend analysis."},
"Yes. You can input different financial scenarios (optimistic, realistic, pessimistic) and compare predictions side-by-side. This helps with strategic planning and risk assessment. The system stores historical scenarios for comparison and trend analysis."
},
]}
faqsAnimation="slide-up"
textboxLayout="default"
@@ -341,13 +366,16 @@ export default function HomePage() {
socialLinks={[
{
icon: Github,
href: "https://github.com", ariaLabel: "GitHub"},
href: "https://github.com", ariaLabel: "GitHub"
},
{
icon: Linkedin,
href: "https://linkedin.com", ariaLabel: "LinkedIn"},
href: "https://linkedin.com", ariaLabel: "LinkedIn"
},
{
icon: Twitter,
href: "https://twitter.com", ariaLabel: "Twitter"},
href: "https://twitter.com", ariaLabel: "Twitter"
},
]}
/>
</div>