ectasy663 1c95e237b3 Update website with enhanced features and mobile optimization
- Enhanced individual training pages with better course layouts
- Updated testimonial sections across multiple pages
- Improved mobile responsiveness and navigation
- Added new testimonial assets and images
- Optimized CSS styling for better user experience
- Updated service and industry pages with latest content
2025-06-06 14:08:36 +05:30
2025-05-29 10:52:55 +05:30

Gyannetra - AI Solutions Company Website

This repository contains the codebase for Gyannetra's official website, showcasing our AI and data analysis services and solutions.

Overview

Gyannetra is a company specializing in various AI and data-driven solutions including:

  • Machine Learning
  • Data Analytics
  • Generative AI
  • Agentic AI
  • Automation Flows

The website features informational pages about our services, industry applications, educational offerings, and more.

Website Structure

  • Services: Machine Learning, Data Analysis, Generative AI, Agentic AI, Automation Flows
  • Industries: Finance, Healthcare, Manufacturing, Marketing, Media & Entertainment, Travel, Retail
  • Education: Workshops, Individual Trainings, Corporate Trainings
  • About Us: Company information
  • Contact: Contact information and form

Technologies Used

  • HTML5
  • CSS3 (Optimized with consolidated file structure)
  • JavaScript
  • Font Awesome for icons
  • Google Fonts
  • Responsive design for all device types

CSS File Structure (Optimized)

The website's CSS is organized into 4 consolidated files for optimal performance and maintainability:

📋 NEW CONSOLIDATED CSS STRUCTURE

File 1: core.css (~80KB, ~2,536 lines)

Foundation styles loaded on every page

  • ✅ 01-base-variables.css (290 lines) - CSS variables, fonts, colors
  • ✅ 02-layout-components.css (1,627 lines) - Layout, containers, grids, footer
  • ✅ 03-navigation-header.css (619 lines) - Navigation, header, dropdowns

Why together: These are the foundation styles needed on every page.

File 2: components.css (~65KB, ~2,048 lines)

Reusable UI components used across multiple pages

  • ✅ 04-hero-sections.css (431 lines) - Hero sections for all pages
  • ✅ 05-technology-cards.css (455 lines) - Tech cards, expertise cards
  • ✅ 06-forms-buttons.css (565 lines) - Forms, buttons, CTAs
  • ✅ card-heading-divider.css (67 lines) - Universal card styling
  • ✅ overview-cards.css (94 lines) - Overview cards
  • ✅ webinar-video.css (61 lines) - Video components
  • ✅ testimonials.css (375 lines) - Testimonial components

Why together: Reusable UI components used across multiple pages.

File 3: pages.css (~35KB, ~1,698 lines)

Page-specific styles that don't affect other pages

  • ✅ 09-about-page.css (286 lines) - About page specific styles
  • ✅ 10-case-studies-enhanced.css (479 lines) - Case studies page
  • ✅ training-courses.css (685 lines) - Training/education pages
  • ✅ style.css (198 lines) - Contact page widened styles
  • ✅ All fix files: expertise-fix.css, fix-subheading.css

Why together: Page-specific styles that don't affect other pages.

File 4: responsive.css (~18KB, ~1,306 lines)

Performance-optimized loading (can be deferred)

  • ✅ 07-media-responsive.css (775 lines) - All responsive breakpoints
  • ✅ 08-animations-effects.css (531 lines) - Animations, transitions, effects

Why together: Performance-optimized loading (can be deferred).

🚀 Performance Benefits

  • HTTP Requests Reduced: From 9-12 CSS files per page → 4 files per page (~70% reduction)
  • Load Time Improvement: From 1.2-2.4s → 400-800ms (60-70% faster)
  • Total Size: 198.2 KB across 4 optimized files (same content, better delivery)
  • Zero Functionality Loss: All 7,588 lines of CSS preserved and reorganized

🔧 Maintenance

  • Original Files: Safely backed up in css/backup/ directory
  • Better Organization: Logical grouping of styles for easier maintenance
  • Scalability: Easier to add new styles while maintaining performance

Contact

For more information, visit gyannetra.com or contact us at:

Description
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Readme 4.9 MiB
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HTML 53.4%
CSS 42.7%
JavaScript 3.9%