Tailor made support
Our services are customized with ❤️ for the creativity client wishes for.
Fresh minds working in sync with customer's requirements. Excellent product output & follow ups. Keep rocking guys
Our Work
Showcasing innovative solutions and exceptional performance
Myndz Project
Developed a dynamic portfolio website for Myndz Badminton Academy, showcasing star players at national and international levels, coach profiles, parent testimonials, and the academy’s values. Integrated Instagram feed and media gallery to highlight activities and achievements, building trust and brand credibility.
HTMLCSSJavaScriptNetlify Hosting
96%+
Best Practices Score
91%+
SEO Score
99.9%
Uptime
0.5s
First Contentful Paint
Plant Species Classification
Developed an AI-powered platform to detect and recognize indigenous medicinal plants of India, providing details on their medicinal value and culinary usage. Trained on a dataset of 2,626 plant species (including leaves, flowers, roots, stems, bark, and fruits), the system utilized ResNet50, MobileNetV2, and VGG16 CNN models, achieving 95% accuracy through stochastic weight averaging. Integrated GPT-3 with context-enriched data from web scraping to enable real-time Q&A about plants.
ReactFlaskPythonTensorFlowOpenAI GPT-3BeautifulSoup
95%
Accuracy
130K+
Dataset Size
<4s
Response Latency
98.3%
Uptime
Loan Approval System
A confidential fintech AI solution built to predict loan approval likelihood using historical datasets of approved and rejected applications. The system employed a supervised learning model to deliver 85% accuracy, with low false positives and false negatives. Integrated directly into the loan processing workflow, it provides a probability score, the model’s decision, and then routes the application for final human verification—streamlining decision-making and reducing processing time.
PythonScikit-learnPandasNumPyFlask
85%
Prediction Accuracy
40%
Processing Time Reduction
99.9%
Uptime
StockMarket Automation
Developed an intelligent stock trading system combining rule-based algorithms with machine learning models to automate buy/sell decisions based on market trends and multiple financial indicators. Leveraging the SAX model alongside domain-specific stock market expertise, the system significantly reduced manual trading efforts, improved decision-making speed, and increased revenue for the client.
PythonPandasNumPyScikit-learnSAXFlask
80%
Work Reduction
82%
Accuracy
+18%
Revenue Growth
99.5%
Uptime
TT Webstie
Revamped the website for TT Sports Academy, a multi-sport facility offering badminton, yoga, boxing, swimming, and more. Built with HTML, CSS, and JavaScript, the redesign focused on boosting SEO from ~55% to 100% and improving best practices to 100%, significantly enhancing brand visibility and online credibility. Performance scores improved from 40% to 73%, making the site faster, more discoverable, and more engaging for potential members.
HTMLCSSJavaScriptNetlify Hosting
100%
SEO Score (up from ~55%)
100%
Best Practices Score
73%
Performance Score (up from 40%)
99.9%
Uptime
Techiegen Edtech PWA
Built a meme-based learning platform as a Progressive Web App (PWA) for Techiegen, enabling students to learn academic concepts through humor and community interaction. Powered by Firebase on the backend, the platform was launched both as a PWA and on the Play Store, allowing rapid go-to-market testing for product validation and monetization potential. Optimized for high performance, accessibility, and SEO to maximize reach and engagement.
PWAFirebaseHTMLCSSReactJavaScript
95%
Best Practices Score
94%
Accessibility Score
0.8s
First Contentful Paint
120ms
Total Blocking Time
Temple Billing System
Developed a high-performance desktop billing and ticket management system for a temple, upgrading their existing software with advanced features like stock management, daily revenue and expense tracking, and interactive dashboards. Built using Tauri, Rust, and Firebase, the solution drastically reduced paper usage to 0% by fully digitizing records, while delivering lightning-fast load times and improved operational efficiency.
TauriRustFirebase
0.8s
Load Time
100%
Paper Reduction
40%
Efficiency Increase
99.9%
Uptime
Data Analysis Tool
Built a no-code data analysis and predictive modeling platform for users with strong statistical knowledge but no programming experience. The tool allows users to upload CSV datasets, generate interactive charts and graphs, and build basic machine learning models such as linear regression and logistic regression directly through a user-friendly interface. Developed with React and Flask, the platform streamlines data exploration and modeling for rapid insights.
ReactPythonFlaskPandasNumPyScikit-learnChart.js
<10s
Base Model Build Time
Up to 500MB CSV
Supported File Size
99.9%
Uptime
ColorCoding Tool
Developed a computer vision-based chemical analysis tool to predict methanol and ethanol percentages in solutions using image uploads. Designed for professionals in chemistry, food safety, and quality control, the tool replaced expensive lab-based equipment with a cost-effective, fast, and highly accurate alternative. Achieved 93%+ prediction accuracy with results generated in under 3 seconds, making it a practical solution for real-world industrial applications.
PythonOpenCVTensorFlowFlaskPandas
>93%
Accuracy
2-3s
Average Prediction Time
~40%
Cost Reduction vs Lab Methods
99.9%
Uptime
Attendify
Attendify is a privacy-first membership management app designed for gyms, sports academies, tuition centers, and facilities with recurring members. Featuring QR-based attendance, automated fee reminders, income–expense tracking, and a powerful business intelligence dashboard, it streamlines operations while safeguarding user data through a patent-pending privacy architecture. Built for speed and scalability, Attendify delivers a sub-1-second load time and robust backend reliability.
KotlinFirebaseAndroid StudioGoogle AnalyticsCloud Firestore
99.07%
Crash-free
1000+
Downloads
<1s
Load Time
13m 36s
Average Engagement Per User
Author Portfolio
A visually captivating author portfolio website built with Next.js and Tailwind CSS to showcase published books and connect readers directly to purchase links on Amazon and Flipkart. Optimized for 100% Lighthouse SEO and accessibility scores, the site elevated the author’s Google search ranking and boosted book sales through credibility-building testimonials and seamless ad campaign integration.
Next.jsTailwind CSSNetlify Hosting
100%
SEO Score
+25%
Increase in Sales
18%
Bounce Rate Reduction
~1.1s
Page Load Time
Avittam Homes Website
Revamped the official website for Avittam Homes, a real estate developer, with a modernized UI, improved performance, and SEO optimization. The redesign maintained the existing HTML, CSS, JavaScript, and PHP stack while significantly enhancing lead conversion potential and visual appeal. Delivered with 99.9% uptime, the site offers a smoother browsing experience aligned with the brand’s premium image.
HTMLCSSJavaScriptPHP
99.9%
Uptime
95%+
SEO Score
~1.3s
Page Load Time
+20%
Lead Boost
Landing Page for CA Firm
Developed a professional online presence for KMJ & Co., a Chartered Accountancy firm, with a focus on on-page SEO to position them as the top CA firm in Ambattur. The site features WhatsApp integration for instant communication and Google Sheets automation via App Script for real-time lead capture from forms. Achieved Lighthouse scores of 100 in SEO and Best Practices.
HTMLCSSJavaScriptGoogle App Script
95%
SEO Score
100%
Best Practices Score
92%
Performance Score
99.9%
Uptime
MedicalData Project
A confidential healthcare AI initiative involving the development of machine learning models and LLM-powered insights for predictive analytics on sensitive medical datasets. Extensive data cleaning and preprocessing ensured model reliability, with a strong focus on minimizing false positives and false negatives. Hosted securely on a local server to comply with strict data privacy standards.
PythonOpenAI APIOllamaPandasNumPyScikit-learn
90%
Prediction Accuracy
<5%
False Positive Rate
<5%
False Negative Rate
1M+
Data Processed
Hazlo Project
A confidential cross-platform mobile application developed using React Native and Firebase, built as an MVP to validate market fit for a sports industry solution. Optimized for production deployment on both Android and iOS, the app delivers a smooth user experience, intuitive navigation, and reliable backend performance to support initial user testing and feedback cycles.
React NativeFirebaseCloud FirestoreAndroid & iOS Deployment
Android + iOS
Platforms Supported
<1s
Initial Load Time
98.7%
Crash-free Sessions
3 months
MVP Delivery Time
FlintM Website
Developed the official website for Flintim, a marketing agency, with a strong emphasis on brand storytelling and visual impact. Delivered a custom video-based hero creative designed to instantly engage visitors, alongside a sleek, high-performance interface. With Lighthouse scores above 90% in SEO and performance and 100% in best practices, the site effectively showcases client results, ROAS, and case studies—building trust and credibility.
HTMLCSSJavaScriptFirebase Hosting
92%
SEO Score
94%
Performance Score
100%
Best Practices Score
99.9%
Uptime
Mun Website
Revamped the official website for a Model United Nations (MUN) company, enhancing its professionalism and appeal to schools and MUN enthusiasts. Built on WordPress, the redesign included high-quality Canva-designed visuals to strengthen brand identity and improve event promotion. Achieved 100% performance, 90%+ SEO, and top scores in best practices and accessibility.
WordPressCanvaElementor / Custom Theme
100%
Performance Score
100%
Accessibility Score
100%
Best Practices Score
99.9%
Uptime
Myndz Project
Developed a dynamic portfolio website for Myndz Badminton Academy, showcasing star players at national and international levels, coach profiles, parent testimonials, and the academy’s values. Integrated Instagram feed and media gallery to highlight activities and achievements, building trust and brand credibility.
HTMLCSSJavaScriptNetlify Hosting
96%+
Best Practices Score
91%+
SEO Score
99.9%
Uptime
0.5s
First Contentful Paint
Plant Species Classification
Developed an AI-powered platform to detect and recognize indigenous medicinal plants of India, providing details on their medicinal value and culinary usage. Trained on a dataset of 2,626 plant species (including leaves, flowers, roots, stems, bark, and fruits), the system utilized ResNet50, MobileNetV2, and VGG16 CNN models, achieving 95% accuracy through stochastic weight averaging. Integrated GPT-3 with context-enriched data from web scraping to enable real-time Q&A about plants.
ReactFlaskPythonTensorFlowOpenAI GPT-3BeautifulSoup
95%
Accuracy
130K+
Dataset Size
<4s
Response Latency
98.3%
Uptime
Loan Approval System
A confidential fintech AI solution built to predict loan approval likelihood using historical datasets of approved and rejected applications. The system employed a supervised learning model to deliver 85% accuracy, with low false positives and false negatives. Integrated directly into the loan processing workflow, it provides a probability score, the model’s decision, and then routes the application for final human verification—streamlining decision-making and reducing processing time.
PythonScikit-learnPandasNumPyFlask
85%
Prediction Accuracy
40%
Processing Time Reduction
99.9%
Uptime
StockMarket Automation
Developed an intelligent stock trading system combining rule-based algorithms with machine learning models to automate buy/sell decisions based on market trends and multiple financial indicators. Leveraging the SAX model alongside domain-specific stock market expertise, the system significantly reduced manual trading efforts, improved decision-making speed, and increased revenue for the client.
PythonPandasNumPyScikit-learnSAXFlask
80%
Work Reduction
82%
Accuracy
+18%
Revenue Growth
99.5%
Uptime
TT Webstie
Revamped the website for TT Sports Academy, a multi-sport facility offering badminton, yoga, boxing, swimming, and more. Built with HTML, CSS, and JavaScript, the redesign focused on boosting SEO from ~55% to 100% and improving best practices to 100%, significantly enhancing brand visibility and online credibility. Performance scores improved from 40% to 73%, making the site faster, more discoverable, and more engaging for potential members.
HTMLCSSJavaScriptNetlify Hosting
100%
SEO Score (up from ~55%)
100%
Best Practices Score
73%
Performance Score (up from 40%)
99.9%
Uptime
Techiegen Edtech PWA
Built a meme-based learning platform as a Progressive Web App (PWA) for Techiegen, enabling students to learn academic concepts through humor and community interaction. Powered by Firebase on the backend, the platform was launched both as a PWA and on the Play Store, allowing rapid go-to-market testing for product validation and monetization potential. Optimized for high performance, accessibility, and SEO to maximize reach and engagement.
PWAFirebaseHTMLCSSReactJavaScript
95%
Best Practices Score
94%
Accessibility Score
0.8s
First Contentful Paint
120ms
Total Blocking Time
Temple Billing System
Developed a high-performance desktop billing and ticket management system for a temple, upgrading their existing software with advanced features like stock management, daily revenue and expense tracking, and interactive dashboards. Built using Tauri, Rust, and Firebase, the solution drastically reduced paper usage to 0% by fully digitizing records, while delivering lightning-fast load times and improved operational efficiency.
TauriRustFirebase
0.8s
Load Time
100%
Paper Reduction
40%
Efficiency Increase
99.9%
Uptime
Data Analysis Tool
Built a no-code data analysis and predictive modeling platform for users with strong statistical knowledge but no programming experience. The tool allows users to upload CSV datasets, generate interactive charts and graphs, and build basic machine learning models such as linear regression and logistic regression directly through a user-friendly interface. Developed with React and Flask, the platform streamlines data exploration and modeling for rapid insights.
ReactPythonFlaskPandasNumPyScikit-learnChart.js
<10s
Base Model Build Time
Up to 500MB CSV
Supported File Size
99.9%
Uptime
ColorCoding Tool
Developed a computer vision-based chemical analysis tool to predict methanol and ethanol percentages in solutions using image uploads. Designed for professionals in chemistry, food safety, and quality control, the tool replaced expensive lab-based equipment with a cost-effective, fast, and highly accurate alternative. Achieved 93%+ prediction accuracy with results generated in under 3 seconds, making it a practical solution for real-world industrial applications.
PythonOpenCVTensorFlowFlaskPandas
>93%
Accuracy
2-3s
Average Prediction Time
~40%
Cost Reduction vs Lab Methods
99.9%
Uptime
Attendify
Attendify is a privacy-first membership management app designed for gyms, sports academies, tuition centers, and facilities with recurring members. Featuring QR-based attendance, automated fee reminders, income–expense tracking, and a powerful business intelligence dashboard, it streamlines operations while safeguarding user data through a patent-pending privacy architecture. Built for speed and scalability, Attendify delivers a sub-1-second load time and robust backend reliability.
KotlinFirebaseAndroid StudioGoogle AnalyticsCloud Firestore
99.07%
Crash-free
1000+
Downloads
<1s
Load Time
13m 36s
Average Engagement Per User
Author Portfolio
A visually captivating author portfolio website built with Next.js and Tailwind CSS to showcase published books and connect readers directly to purchase links on Amazon and Flipkart. Optimized for 100% Lighthouse SEO and accessibility scores, the site elevated the author’s Google search ranking and boosted book sales through credibility-building testimonials and seamless ad campaign integration.
Next.jsTailwind CSSNetlify Hosting
100%
SEO Score
+25%
Increase in Sales
18%
Bounce Rate Reduction
~1.1s
Page Load Time
Avittam Homes Website
Revamped the official website for Avittam Homes, a real estate developer, with a modernized UI, improved performance, and SEO optimization. The redesign maintained the existing HTML, CSS, JavaScript, and PHP stack while significantly enhancing lead conversion potential and visual appeal. Delivered with 99.9% uptime, the site offers a smoother browsing experience aligned with the brand’s premium image.
HTMLCSSJavaScriptPHP
99.9%
Uptime
95%+
SEO Score
~1.3s
Page Load Time
+20%
Lead Boost
Landing Page for CA Firm
Developed a professional online presence for KMJ & Co., a Chartered Accountancy firm, with a focus on on-page SEO to position them as the top CA firm in Ambattur. The site features WhatsApp integration for instant communication and Google Sheets automation via App Script for real-time lead capture from forms. Achieved Lighthouse scores of 100 in SEO and Best Practices.
HTMLCSSJavaScriptGoogle App Script
95%
SEO Score
100%
Best Practices Score
92%
Performance Score
99.9%
Uptime
MedicalData Project
A confidential healthcare AI initiative involving the development of machine learning models and LLM-powered insights for predictive analytics on sensitive medical datasets. Extensive data cleaning and preprocessing ensured model reliability, with a strong focus on minimizing false positives and false negatives. Hosted securely on a local server to comply with strict data privacy standards.
PythonOpenAI APIOllamaPandasNumPyScikit-learn
90%
Prediction Accuracy
<5%
False Positive Rate
<5%
False Negative Rate
1M+
Data Processed
Hazlo Project
A confidential cross-platform mobile application developed using React Native and Firebase, built as an MVP to validate market fit for a sports industry solution. Optimized for production deployment on both Android and iOS, the app delivers a smooth user experience, intuitive navigation, and reliable backend performance to support initial user testing and feedback cycles.
React NativeFirebaseCloud FirestoreAndroid & iOS Deployment
Android + iOS
Platforms Supported
<1s
Initial Load Time
98.7%
Crash-free Sessions
3 months
MVP Delivery Time
FlintM Website
Developed the official website for Flintim, a marketing agency, with a strong emphasis on brand storytelling and visual impact. Delivered a custom video-based hero creative designed to instantly engage visitors, alongside a sleek, high-performance interface. With Lighthouse scores above 90% in SEO and performance and 100% in best practices, the site effectively showcases client results, ROAS, and case studies—building trust and credibility.
HTMLCSSJavaScriptFirebase Hosting
92%
SEO Score
94%
Performance Score
100%
Best Practices Score
99.9%
Uptime
Mun Website
Revamped the official website for a Model United Nations (MUN) company, enhancing its professionalism and appeal to schools and MUN enthusiasts. Built on WordPress, the redesign included high-quality Canva-designed visuals to strengthen brand identity and improve event promotion. Achieved 100% performance, 90%+ SEO, and top scores in best practices and accessibility.
WordPressCanvaElementor / Custom Theme
100%
Performance Score
100%
Accessibility Score
100%
Best Practices Score
99.9%
Uptime
Myndz Project
Developed a dynamic portfolio website for Myndz Badminton Academy, showcasing star players at national and international levels, coach profiles, parent testimonials, and the academy’s values. Integrated Instagram feed and media gallery to highlight activities and achievements, building trust and brand credibility.
HTMLCSSJavaScriptNetlify Hosting
96%+
Best Practices Score
91%+
SEO Score
99.9%
Uptime
0.5s
First Contentful Paint