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Merge version_1 into main #2

Merged
bender merged 4 commits from version_1 into main 2026-03-21 05:54:26 +00:00
Conversation 0 Commits 4 Files Changed 4 +103 -269
4 changed files with 103 additions and 269 deletions
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56
src/app/contact/page.tsx
View File

@@ -30,19 +30,13 @@ export default function ContactPage() {
const socialLinks = [
{
icon: Twitter,
href: "https://twitter.com",
ariaLabel: "Follow us on Twitter",
},
href: "https://twitter.com", ariaLabel: "Follow us on Twitter"},
{
icon: Linkedin,
href: "https://linkedin.com",
ariaLabel: "Connect on LinkedIn",
},
href: "https://linkedin.com", ariaLabel: "Connect on LinkedIn"},
{
icon: Github,
href: "https://github.com",
ariaLabel: "View our code on GitHub",
},
href: "https://github.com", ariaLabel: "View our code on GitHub"},
];
return (
@@ -74,45 +68,27 @@ export default function ContactPage() {
textboxLayout="default"
useInvertedBackground={true}
tag="Support"
tagIcon="HelpCircle"
tagIcon={HelpCircle}
tagAnimation="slide-up"
faqs={[
{
id: "faq-1",
title: "What data does CricIntel analyze?",
content:
"CricIntel analyzes comprehensive ball-by-ball data from all major T20 leagues including IPL, BBL, SA20, CPL, T20 Blast, and domestic competitions worldwide. Our data comes from Cricsheet, covering thousands of matches with detailed context for every ball delivered.",
},
id: "faq-1", title: "What data does CricIntel analyze?", content:
"CricIntel analyzes comprehensive ball-by-ball data from all major T20 leagues including IPL, BBL, SA20, CPL, T20 Blast, and domestic competitions worldwide. Our data comes from Cricsheet, covering thousands of matches with detailed context for every ball delivered."},
{
id: "faq-2",
title: "How accurate are CricIntel's predictions?",
content:
"CricIntel's XGBoost ensemble models achieve 99.2% accuracy in win probability predictions and performance forecasting. Every prediction is backed by SHAP explainability, meaning you understand the reasoning behind each insight—not just the numbers.",
},
id: "faq-2", title: "How accurate are CricIntel's predictions?", content:
"CricIntel's XGBoost ensemble models achieve 99.2% accuracy in win probability predictions and performance forecasting. Every prediction is backed by SHAP explainability, meaning you understand the reasoning behind each insight—not just the numbers."},
{
id: "faq-3",
title: "Can CricIntel help with player discovery?",
content:
"Absolutely. Our Player Intelligence module uses unsupervised clustering and context-aware performance scoring to identify undervalued players, find similar profiles globally, and model career trajectories. Scouts can discover hidden gems across all major leagues in minutes.",
},
id: "faq-3", title: "Can CricIntel help with player discovery?", content:
"Absolutely. Our Player Intelligence module uses unsupervised clustering and context-aware performance scoring to identify undervalued players, find similar profiles globally, and model career trajectories. Scouts can discover hidden gems across all major leagues in minutes."},
{
id: "faq-4",
title: "How does real-time match analysis work?",
content:
"Our Match Intelligence system processes ball-by-ball data in real-time to update win probability models, analyze pressure situations, and break down matchups by phase (powerplay, middle, death). Results are available instantly for commentary, strategy, and live decision-making.",
},
id: "faq-4", title: "How does real-time match analysis work?", content:
"Our Match Intelligence system processes ball-by-ball data in real-time to update win probability models, analyze pressure situations, and break down matchups by phase (powerplay, middle, death). Results are available instantly for commentary, strategy, and live decision-making."},
{
id: "faq-5",
title: "What makes CricIntel different?",
content:
"CricIntel combines three unique advantages: deep cricket domain knowledge baked into feature engineering, production-grade ML models with SHAP explainability, and an interactive dashboard that transforms insights into actionable strategy. We're not just numbers—we're intelligence.",
},
id: "faq-5", title: "What makes CricIntel different?", content:
"CricIntel combines three unique advantages: deep cricket domain knowledge baked into feature engineering, production-grade ML models with SHAP explainability, and an interactive dashboard that transforms insights into actionable strategy. We're not just numbers—we're intelligence."},
{
id: "faq-6",
title: "Who uses CricIntel?",
content:
"CricIntel is designed for franchises (strategy and scouting), analysts (match preparation and commentary), scouts (talent discovery), coaches (tactical planning), and cricket media (data-driven storytelling). Anyone making cricket decisions benefits from CricIntel insights.",
},
id: "faq-6", title: "Who uses CricIntel?", content:
"CricIntel is designed for franchises (strategy and scouting), analysts (match preparation and commentary), scouts (talent discovery), coaches (tactical planning), and cricket media (data-driven storytelling). Anyone making cricket decisions benefits from CricIntel insights."},
]}
faqsAnimation="slide-up"
ariaLabel="CricIntel FAQ section"

142
src/app/page.tsx
View File

@@ -10,7 +10,7 @@ import TestimonialCardTwelve from '@/components/sections/testimonial/Testimonial
import FaqBase from '@/components/sections/faq/FaqBase';
import FooterCard from '@/components/sections/footer/FooterCard';
import Link from 'next/link';
import { Sparkles, Brain, Zap, Code, BarChart3, Users, HelpCircle, ThumbsUp, Twitter, Linkedin, Github } from 'lucide-react';
import { Sparkles, Brain, Zap, Code, BarChart3, Users, HelpCircle, ThumbsUp, Twitter, Linkedin, Github, User, TrendingUp, ClipboardList, Target, DollarSign, Database, Globe, Activity, Trophy, Layers, GitBranch, Cpu } from 'lucide-react';
export default function HomePage() {
const navItems = [
@@ -60,10 +60,10 @@ export default function HomePage() {
imageAlt="CricIntel Analytics Dashboard"
mediaAnimation="slide-up"
marqueeItems={[
{ text: "1000+ Matches Analyzed" },
{ text: "Real-time Predictions" },
{ text: "Global Coverage" },
{ text: "AI-Powered Insights" }
{ type: "text-icon", text: "1000+ Matches Analyzed", icon: BarChart3 },
{ type: "text-icon", text: "Real-time Predictions", icon: Zap },
{ type: "text-icon", text: "Global Coverage", icon: Globe },
{ type: "text-icon", text: "AI-Powered Insights", icon: Brain }
]}
marqueeSpeed={30}
showMarqueeCard={true}
@@ -107,28 +107,20 @@ export default function HomePage() {
tagAnimation="slide-up"
features={[
{
title: "Player Intelligence",
description: "Context-aware performance scoring, career trajectory modeling, and style-based player clustering to identify undervalued talent and similar profiles globally.",
bentoComponent: "icon-info-cards",
items: [
{ icon: "User", label: "Performance Scores", value: "Context-Aware" },
{ icon: "TrendingUp", label: "Career Paths", value: "Predicted" },
{ icon: "Users", label: "Player Clusters", value: "By Style" }
title: "Player Intelligence", description: "Context-aware performance scoring, career trajectory modeling, and style-based player clustering to identify undervalued talent and similar profiles globally.", bentoComponent: "icon-info-cards", items: [
{ icon: User, label: "Performance Scores", value: "Context-Aware" },
{ icon: TrendingUp, label: "Career Paths", value: "Predicted" },
{ icon: Users, label: "Player Clusters", value: "By Style" }
]
},
{
title: "Match Intelligence",
description: "Real-time win probability modeling, pressure situation analysis, and detailed phase-wise breakdown of bowling and batting matchups with contextual insights.",
bentoComponent: "animated-bar-chart"
title: "Match Intelligence", description: "Real-time win probability modeling, pressure situation analysis, and detailed phase-wise breakdown of bowling and batting matchups with contextual insights.", bentoComponent: "animated-bar-chart"
},
{
title: "Team Strategy",
description: "Optimal batting order construction, best XI selection against specific oppositions, and IPL auction value estimation powered by machine learning.",
bentoComponent: "3d-stack-cards",
items: [
{ icon: "ClipboardList", title: "Batting Order", subtitle: "Optimization", detail: "Data-driven lineup construction" },
{ icon: "Target", title: "Best XI", subtitle: "Selection", detail: "Opposition-specific analysis" },
{ icon: "DollarSign", title: "Auction Value", subtitle: "Estimation", detail: "IPL pricing intelligence" }
title: "Team Strategy", description: "Optimal batting order construction, best XI selection against specific oppositions, and IPL auction value estimation powered by machine learning.", bentoComponent: "3d-stack-cards", items: [
{ icon: ClipboardList, title: "Batting Order", subtitle: "Optimization", detail: "Data-driven lineup construction" },
{ icon: Target, title: "Best XI", subtitle: "Selection", detail: "Opposition-specific analysis" },
{ icon: DollarSign, title: "Auction Value", subtitle: "Estimation", detail: "IPL pricing intelligence" }
]
}
]}
@@ -150,40 +142,27 @@ export default function HomePage() {
tagAnimation="slide-up"
features={[
{
title: "Cricsheet Data Foundation",
description: "Comprehensive ball-by-ball data covering thousands of T20 matches across IPL, BBL, SA20, CPL, T20 Blast, and domestic competitions worldwide.",
bentoComponent: "orbiting-icons",
centerIcon: "Database",
title: "Cricsheet Data Foundation", description: "Comprehensive ball-by-ball data covering thousands of T20 matches across IPL, BBL, SA20, CPL, T20 Blast, and domestic competitions worldwide.", bentoComponent: "orbiting-icons", centerIcon: Database,
items: [
{ icon: "Globe", ring: 1 },
{ icon: "Activity", ring: 1 },
{ icon: "BarChart3", ring: 2 },
{ icon: "Zap", ring: 2 },
{ icon: "Target", ring: 3 },
{ icon: "Trophy", ring: 3 }
{ icon: Globe, ring: 1 },
{ icon: Activity, ring: 1 },
{ icon: BarChart3, ring: 2 },
{ icon: Zap, ring: 2 },
{ icon: Target, ring: 3 },
{ icon: Trophy, ring: 3 }
]
},
{
title: "Feature Pipeline",
description: "Deep cricket domain knowledge transforms raw ball-by-ball data into meaningful features capturing context, phase dynamics, and player interactions.",
bentoComponent: "3d-task-list",
items: [
{ icon: "Layers", label: "Context Extraction", time: "Real-time" },
{ icon: "GitBranch", label: "Phase Analysis", time: "Streaming" },
{ icon: "Cpu", label: "Aggregation", time: "Batch" }
title: "Feature Pipeline", description: "Deep cricket domain knowledge transforms raw ball-by-ball data into meaningful features capturing context, phase dynamics, and player interactions.", bentoComponent: "3d-task-list", items: [
{ icon: Layers, label: "Context Extraction", time: "Real-time" },
{ icon: GitBranch, label: "Phase Analysis", time: "Streaming" },
{ icon: Cpu, label: "Aggregation", time: "Batch" }
]
},
{
title: "ML & Explainability",
description: "XGBoost ensemble models for prediction accuracy combined with SHAP for model explainability—every insight includes reasoning, not just numbers.",
bentoComponent: "marquee",
centerIcon: "Brain",
variant: "text",
texts: [
"XGBoost Ensembles",
"SHAP Explainability",
"Real-time Inference",
"Continuous Learning"
title: "ML & Explainability", description: "XGBoost ensemble models for prediction accuracy combined with SHAP for model explainability—every insight includes reasoning, not just numbers.", bentoComponent: "marquee", centerIcon: Brain,
variant: "text", texts: [
"XGBoost Ensembles", "SHAP Explainability", "Real-time Inference", "Continuous Learning"
]
}
]}
@@ -205,28 +184,13 @@ export default function HomePage() {
tagAnimation="slide-up"
metrics={[
{
id: "matches",
value: "1000+",
title: "T20 Matches Analyzed",
description: "Comprehensive historical and ongoing match data",
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-beautifully-designed-stat-card-showing-1774072042418-e0be0ae8.png",
imageAlt: "Matches analyzed stat"
id: "matches", value: "1000+", title: "T20 Matches Analyzed", description: "Comprehensive historical and ongoing match data", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-beautifully-designed-stat-card-showing-1774072042418-e0be0ae8.png", imageAlt: "Matches analyzed stat"
},
{
id: "coverage",
value: "6 Leagues",
title: "Global T20 Coverage",
description: "IPL, BBL, SA20, CPL, T20 Blast & Domestic",
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-dynamic-visualization-showing-global-t-1774072043067-c6f48e9a.png",
imageAlt: "Global league coverage"
id: "coverage", value: "6 Leagues", title: "Global T20 Coverage", description: "IPL, BBL, SA20, CPL, T20 Blast & Domestic", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-dynamic-visualization-showing-global-t-1774072043067-c6f48e9a.png", imageAlt: "Global league coverage"
},
{
id: "accuracy",
value: "99.2%",
title: "Model Accuracy",
description: "XGBoost ensemble predictions with SHAP validation",
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-machine-learning-model-visualization-s-1774072043382-7869ef54.png",
imageAlt: "Model accuracy rate"
id: "accuracy", value: "99.2%", title: "Model Accuracy", description: "XGBoost ensemble predictions with SHAP validation", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-machine-learning-model-visualization-s-1774072043382-7869ef54.png", imageAlt: "Model accuracy rate"
}
]}
ariaLabel="CricIntel metrics section"
@@ -238,28 +202,16 @@ export default function HomePage() {
<TestimonialCardTwelve
testimonials={[
{
id: "franchise",
name: "Franchise Director",
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-headshot-of-a-franchise-d-1774072041968-637fc377.png?_wi=1",
imageAlt: "Franchise director testimonial"
id: "franchise", name: "Franchise Director", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-headshot-of-a-franchise-d-1774072041968-637fc377.png?_wi=1", imageAlt: "Franchise director testimonial"
},
{
id: "analyst",
name: "Cricket Analyst",
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-cricket-analyst-or-commen-1774072043296-cfffcbd0.png?_wi=1",
imageAlt: "Cricket analyst testimonial"
id: "analyst", name: "Cricket Analyst", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-cricket-analyst-or-commen-1774072043296-cfffcbd0.png?_wi=1", imageAlt: "Cricket analyst testimonial"
},
{
id: "scout",
name: "Talent Scout",
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-cricket-scout-or-talent-e-1774072044041-136629ce.png?_wi=1",
imageAlt: "Talent scout testimonial"
id: "scout", name: "Talent Scout", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-cricket-scout-or-talent-e-1774072044041-136629ce.png?_wi=1", imageAlt: "Talent scout testimonial"
},
{
id: "coach",
name: "Head Coach",
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-cricket-coach-headshot-sh-1774072042112-3173e43b.png?_wi=1",
imageAlt: "Head coach testimonial"
id: "coach", name: "Head Coach", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-cricket-coach-headshot-sh-1774072042112-3173e43b.png?_wi=1", imageAlt: "Head coach testimonial"
}
]}
cardTitle="Trusted by Cricket Professionals"
@@ -284,34 +236,22 @@ export default function HomePage() {
tagAnimation="slide-up"
faqs={[
{
id: "faq-1",
title: "What data does CricIntel analyze?",
content: "CricIntel analyzes comprehensive ball-by-ball data from all major T20 leagues including IPL, BBL, SA20, CPL, T20 Blast, and domestic competitions worldwide. Our data comes from Cricsheet, covering thousands of matches with detailed context for every ball delivered."
id: "faq-1", title: "What data does CricIntel analyze?", content: "CricIntel analyzes comprehensive ball-by-ball data from all major T20 leagues including IPL, BBL, SA20, CPL, T20 Blast, and domestic competitions worldwide. Our data comes from Cricsheet, covering thousands of matches with detailed context for every ball delivered."
},
{
id: "faq-2",
title: "How accurate are CricIntel's predictions?",
content: "CricIntel's XGBoost ensemble models achieve 99.2% accuracy in win probability predictions and performance forecasting. Every prediction is backed by SHAP explainability, meaning you understand the reasoning behind each insight—not just the numbers."
id: "faq-2", title: "How accurate are CricIntel's predictions?", content: "CricIntel's XGBoost ensemble models achieve 99.2% accuracy in win probability predictions and performance forecasting. Every prediction is backed by SHAP explainability, meaning you understand the reasoning behind each insight—not just the numbers."
},
{
id: "faq-3",
title: "Can CricIntel help with player discovery?",
content: "Absolutely. Our Player Intelligence module uses unsupervised clustering and context-aware performance scoring to identify undervalued players, find similar profiles globally, and model career trajectories. Scouts can discover hidden gems across all major leagues in minutes."
id: "faq-3", title: "Can CricIntel help with player discovery?", content: "Absolutely. Our Player Intelligence module uses unsupervised clustering and context-aware performance scoring to identify undervalued players, find similar profiles globally, and model career trajectories. Scouts can discover hidden gems across all major leagues in minutes."
},
{
id: "faq-4",
title: "How does real-time match analysis work?",
content: "Our Match Intelligence system processes ball-by-ball data in real-time to update win probability models, analyze pressure situations, and break down matchups by phase (powerplay, middle, death). Results are available instantly for commentary, strategy, and live decision-making."
id: "faq-4", title: "How does real-time match analysis work?", content: "Our Match Intelligence system processes ball-by-ball data in real-time to update win probability models, analyze pressure situations, and break down matchups by phase (powerplay, middle, death). Results are available instantly for commentary, strategy, and live decision-making."
},
{
id: "faq-5",
title: "What makes CricIntel different?",
content: "CricIntel combines three unique advantages: deep cricket domain knowledge baked into feature engineering, production-grade ML models with SHAP explainability, and an interactive dashboard that transforms insights into actionable strategy. We're not just numbers—we're intelligence."
id: "faq-5", title: "What makes CricIntel different?", content: "CricIntel combines three unique advantages: deep cricket domain knowledge baked into feature engineering, production-grade ML models with SHAP explainability, and an interactive dashboard that transforms insights into actionable strategy. We're not just numbers—we're intelligence."
},
{
id: "faq-6",
title: "Who uses CricIntel?",
content: "CricIntel is designed for franchises (strategy and scouting), analysts (match preparation and commentary), scouts (talent discovery), coaches (tactical planning), and cricket media (data-driven storytelling). Anyone making cricket decisions benefits from CricIntel insights."
id: "faq-6", title: "Who uses CricIntel?", content: "CricIntel is designed for franchises (strategy and scouting), analysts (match preparation and commentary), scouts (talent discovery), coaches (tactical planning), and cricket media (data-driven storytelling). Anyone making cricket decisions benefits from CricIntel insights."
}
]}
faqsAnimation="slide-up"

88
src/app/platform/page.tsx
View File

@@ -7,7 +7,7 @@ import ProductCardFour from '@/components/sections/product/ProductCardFour';
import FaqBase from '@/components/sections/faq/FaqBase';
import FooterCard from '@/components/sections/footer/FooterCard';
import Link from 'next/link';
import { Code, BarChart3, HelpCircle, Twitter, Linkedin, Github } from 'lucide-react';
import { Code, BarChart3, HelpCircle, Twitter, Linkedin, Github, Database, Globe, Activity, Trophy, Layers, GitBranch, Cpu, Brain } from 'lucide-react';
export default function PlatformPage() {
const navItems = [
@@ -52,40 +52,27 @@ export default function PlatformPage() {
tagAnimation="slide-up"
features={[
{
title: "Cricsheet Data Foundation",
description: "Comprehensive ball-by-ball data covering thousands of T20 matches across IPL, BBL, SA20, CPL, T20 Blast, and domestic competitions worldwide.",
bentoComponent: "orbiting-icons",
centerIcon: "Database",
title: "Cricsheet Data Foundation", description: "Comprehensive ball-by-ball data covering thousands of T20 matches across IPL, BBL, SA20, CPL, T20 Blast, and domestic competitions worldwide.", bentoComponent: "orbiting-icons", centerIcon: Database,
items: [
{ icon: "Globe", ring: 1 },
{ icon: "Activity", ring: 1 },
{ icon: "BarChart3", ring: 2 },
{ icon: "Zap", ring: 2 },
{ icon: "Target", ring: 3 },
{ icon: "Trophy", ring: 3 }
{ icon: Globe, ring: 1 },
{ icon: Activity, ring: 1 },
{ icon: BarChart3, ring: 2 },
{ icon: Code, ring: 2 },
{ icon: Trophy, ring: 3 },
{ icon: Trophy, ring: 3 }
]
},
{
title: "Feature Pipeline",
description: "Deep cricket domain knowledge transforms raw ball-by-ball data into meaningful features capturing context, phase dynamics, and player interactions.",
bentoComponent: "3d-task-list",
items: [
{ icon: "Layers", label: "Context Extraction", time: "Real-time" },
{ icon: "GitBranch", label: "Phase Analysis", time: "Streaming" },
{ icon: "Cpu", label: "Aggregation", time: "Batch" }
title: "Feature Pipeline", description: "Deep cricket domain knowledge transforms raw ball-by-ball data into meaningful features capturing context, phase dynamics, and player interactions.", bentoComponent: "3d-task-list", items: [
{ icon: Layers, label: "Context Extraction", time: "Real-time" },
{ icon: GitBranch, label: "Phase Analysis", time: "Streaming" },
{ icon: Cpu, label: "Aggregation", time: "Batch" }
]
},
{
title: "ML & Explainability",
description: "XGBoost ensemble models for prediction accuracy combined with SHAP for model explainability—every insight includes reasoning, not just numbers.",
bentoComponent: "marquee",
centerIcon: "Brain",
variant: "text",
texts: [
"XGBoost Ensembles",
"SHAP Explainability",
"Real-time Inference",
"Continuous Learning"
title: "ML & Explainability", description: "XGBoost ensemble models for prediction accuracy combined with SHAP for model explainability—every insight includes reasoning, not just numbers.", bentoComponent: "marquee", centerIcon: Brain,
variant: "text", texts: [
"XGBoost Ensembles", "SHAP Explainability", "Real-time Inference", "Continuous Learning"
]
}
]}
@@ -106,28 +93,13 @@ export default function PlatformPage() {
carouselMode="buttons"
products={[
{
id: "franchise",
name: "Franchise Strategy",
price: "Optimal Decisions",
variant: "Team Optimization",
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-franchise-scouting-scenario-showing-a--1774072043214-b70d5ada.png",
imageAlt: "Franchise strategy optimization"
id: "franchise", name: "Franchise Strategy", price: "Optimal Decisions", variant: "Team Optimization", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-franchise-scouting-scenario-showing-a--1774072043214-b70d5ada.png", imageAlt: "Franchise strategy optimization"
},
{
id: "analyst",
name: "Match Analysis",
price: "Real-Time Insights",
variant: "Broadcast Ready",
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-cricket-analyst-at-a-desk-with-multipl-1774072044293-8fa94f9f.png",
imageAlt: "Cricket analyst workspace"
id: "analyst", name: "Match Analysis", price: "Real-Time Insights", variant: "Broadcast Ready", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-cricket-analyst-at-a-desk-with-multipl-1774072044293-8fa94f9f.png", imageAlt: "Cricket analyst workspace"
},
{
id: "scout",
name: "Talent Discovery",
price: "Hidden Gems Found",
variant: "Global Coverage",
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-sophisticated-player-profiling-interfa-1774072044221-0c247c5b.png",
imageAlt: "Player profiling system"
id: "scout", name: "Talent Discovery", price: "Hidden Gems Found", variant: "Global Coverage", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-sophisticated-player-profiling-interfa-1774072044221-0c247c5b.png", imageAlt: "Player profiling system"
}
]}
ariaLabel="CricIntel use cases"
@@ -147,34 +119,22 @@ export default function PlatformPage() {
tagAnimation="slide-up"
faqs={[
{
id: "faq-1",
title: "What data sources does the platform use?",
content: "CricIntel integrates comprehensive ball-by-ball data from Cricsheet, covering all major T20 leagues (IPL, BBL, SA20, CPL, T20 Blast) and domestic competitions. Our data pipeline processes thousands of matches in real-time, extracting context-aware features for accurate predictions."
id: "faq-1", title: "What data sources does the platform use?", content: "CricIntel integrates comprehensive ball-by-ball data from Cricsheet, covering all major T20 leagues (IPL, BBL, SA20, CPL, T20 Blast) and domestic competitions. Our data pipeline processes thousands of matches in real-time, extracting context-aware features for accurate predictions."
},
{
id: "faq-2",
title: "How does the Player Intelligence module work?",
content: "The Player Intelligence module uses unsupervised machine learning to cluster players by playing style, calculates context-aware performance scores accounting for opposition and match conditions, and models career trajectories. This enables franchises to identify undervalued talent and find similar player profiles globally."
id: "faq-2", title: "How does the Player Intelligence module work?", content: "The Player Intelligence module uses unsupervised machine learning to cluster players by playing style, calculates context-aware performance scores accounting for opposition and match conditions, and models career trajectories. This enables franchises to identify undervalued talent and find similar player profiles globally."
},
{
id: "faq-3",
title: "Can I integrate CricIntel with my existing systems?",
content: "Yes. CricIntel provides APIs for data export, custom dashboards, and integration with third-party analytics tools. Our platform architecture is modular, allowing you to use specific modules independently or as a complete solution."
id: "faq-3", title: "Can I integrate CricIntel with my existing systems?", content: "Yes. CricIntel provides APIs for data export, custom dashboards, and integration with third-party analytics tools. Our platform architecture is modular, allowing you to use specific modules independently or as a complete solution."
},
{
id: "faq-4",
title: "What's included in the Team Strategy module?",
content: "The Team Strategy module includes optimal batting order construction using ML algorithms, best XI selection against specific opponents, and IPL auction value estimation. All recommendations are backed by historical data analysis and predictive modeling."
id: "faq-4", title: "What's included in the Team Strategy module?", content: "The Team Strategy module includes optimal batting order construction using ML algorithms, best XI selection against specific opponents, and IPL auction value estimation. All recommendations are backed by historical data analysis and predictive modeling."
},
{
id: "faq-5",
title: "How is prediction accuracy validated?",
content: "CricIntel uses rigorous backtesting on historical data and cross-validation techniques. Our XGBoost ensemble models achieve 99.2% accuracy, validated against actual match outcomes. SHAP explainability ensures every prediction is interpretable and trustworthy."
id: "faq-5", title: "How is prediction accuracy validated?", content: "CricIntel uses rigorous backtesting on historical data and cross-validation techniques. Our XGBoost ensemble models achieve 99.2% accuracy, validated against actual match outcomes. SHAP explainability ensures every prediction is interpretable and trustworthy."
},
{
id: "faq-6",
title: "What's the cost structure?",
content: "CricIntel offers flexible pricing based on usage patterns and features required. Contact our sales team for enterprise quotes, trial access, or custom solutions tailored to your organization's needs."
id: "faq-6", title: "What's the cost structure?", content: "CricIntel offers flexible pricing based on usage patterns and features required. Contact our sales team for enterprise quotes, trial access, or custom solutions tailored to your organization's needs."
}
]}
faqsAnimation="slide-up"

86
src/app/team/page.tsx
View File

@@ -6,7 +6,7 @@ import NavbarStyleCentered from "@/components/navbar/NavbarStyleCentered/NavbarS
import TeamCardOne from "@/components/sections/team/TeamCardOne";
import TestimonialCardTwelve from "@/components/sections/testimonial/TestimonialCardTwelve";
import FooterCard from "@/components/sections/footer/FooterCard";
import { Twitter, Linkedin, Github } from "lucide-react";
import { Twitter, Linkedin, Github, Users, ThumbsUp } from "lucide-react";
export default function TeamPage() {
const navItems = [
@@ -31,19 +31,13 @@ export default function TeamPage() {
const socialLinks = [
{
icon: Twitter,
href: "https://twitter.com",
ariaLabel: "Follow us on Twitter",
},
href: "https://twitter.com", ariaLabel: "Follow us on Twitter"},
{
icon: Linkedin,
href: "https://linkedin.com",
ariaLabel: "Connect on LinkedIn",
},
href: "https://linkedin.com", ariaLabel: "Connect on LinkedIn"},
{
icon: Github,
href: "https://github.com",
ariaLabel: "View our code on GitHub",
},
href: "https://github.com", ariaLabel: "View our code on GitHub"},
];
return (
@@ -78,40 +72,20 @@ export default function TeamPage() {
carouselMode="buttons"
members={[
{
id: "founder",
name: "Founder & Cricket Analytics Lead",
role: "Domain Expert",
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-portrait-of-a-cricket-ana-1774072042464-64a6dfd1.png",
imageAlt: "Cricket analytics founder",
},
id: "founder", name: "Founder & Cricket Analytics Lead", role: "Domain Expert", imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-portrait-of-a-cricket-ana-1774072042464-64a6dfd1.png", imageAlt: "Cricket analytics founder"},
{
id: "ml-engineer",
name: "Machine Learning Engineer",
role: "AI/ML Specialist",
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-team-member-portrait-show-1774072042086-ca442ce1.png",
imageAlt: "ML engineer team member",
},
id: "ml-engineer", name: "Machine Learning Engineer", role: "AI/ML Specialist", imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-team-member-portrait-show-1774072042086-ca442ce1.png", imageAlt: "ML engineer team member"},
{
id: "cricket-expert",
name: "Cricket Data Scientist",
role: "Domain Specialist",
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-cricket-domain-expert-team-member-port-1774072042385-24675a30.png",
imageAlt: "Cricket expert team member",
},
id: "cricket-expert", name: "Cricket Data Scientist", role: "Domain Specialist", imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-cricket-domain-expert-team-member-port-1774072042385-24675a30.png", imageAlt: "Cricket expert team member"},
{
id: "developer",
name: "Full-Stack Developer",
role: "Platform Engineer",
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-full-stack-developer-team-member-portr-1774072041872-a5bce7c4.png",
imageAlt: "Developer team member",
},
id: "developer", name: "Full-Stack Developer", role: "Platform Engineer", imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-full-stack-developer-team-member-portr-1774072041872-a5bce7c4.png", imageAlt: "Developer team member"},
]}
tag="Expert Team"
tagIcon="Users"
tagIcon={Users}
tagAnimation="slide-up"
ariaLabel="CricIntel team section"
/>
@@ -121,37 +95,21 @@ export default function TeamPage() {
<TestimonialCardTwelve
testimonials={[
{
id: "franchise",
name: "Franchise Director",
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-headshot-of-a-franchise-d-1774072041968-637fc377.png?_wi=2",
imageAlt: "Franchise director testimonial",
},
id: "franchise", name: "Franchise Director", imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-headshot-of-a-franchise-d-1774072041968-637fc377.png?_wi=2", imageAlt: "Franchise director testimonial"},
{
id: "analyst",
name: "Cricket Analyst",
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-cricket-analyst-or-commen-1774072043296-cfffcbd0.png?_wi=2",
imageAlt: "Cricket analyst testimonial",
},
id: "analyst", name: "Cricket Analyst", imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-cricket-analyst-or-commen-1774072043296-cfffcbd0.png?_wi=2", imageAlt: "Cricket analyst testimonial"},
{
id: "scout",
name: "Talent Scout",
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-cricket-scout-or-talent-e-1774072044041-136629ce.png?_wi=2",
imageAlt: "Talent scout testimonial",
},
id: "scout", name: "Talent Scout", imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-cricket-scout-or-talent-e-1774072044041-136629ce.png?_wi=2", imageAlt: "Talent scout testimonial"},
{
id: "coach",
name: "Head Coach",
imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-cricket-coach-headshot-sh-1774072042112-3173e43b.png?_wi=2",
imageAlt: "Head coach testimonial",
},
id: "coach", name: "Head Coach", imageSrc:
"https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3BF4j2bxRdT4nJ0q7EnEjwa2Qxd/a-professional-cricket-coach-headshot-sh-1774072042112-3173e43b.png?_wi=2", imageAlt: "Head coach testimonial"},
]}
cardTitle="Trusted by Cricket Professionals"
cardTag="Real-World Impact"
cardTagIcon="ThumbsUp"
cardTagIcon={ThumbsUp}
cardAnimation="slide-up"
useInvertedBackground={false}
ariaLabel="CricIntel testimonials"