Author: administrator

  • MalleBox

    MalleBox is a modern storage management platform that provides individuals and businesses with a convenient way to rent storage boxes for safely storing their belongings in a secure warehouse facility. The platform simplifies the entire storage process by allowing users to browse storage options, select suitable plans, manage rentals, and organize their storage requirements through an intuitive online experience.

    Designed to address the growing need for flexible storage solutions, MalleBox offers a hassle-free alternative to traditional self-storage services. Customers can conveniently reserve storage space, manage their subscriptions, and access storage-related services through a centralized digital platform, making storage management more accessible and efficient.

    Key Features

    • Online storage box rental system
    • Secure warehouse storage management
    • Customer account and profile management
    • Storage plan and package management
    • WooCommerce-powered booking and payments
    • Rental subscription management
    • Order tracking and service management
    • Responsive and mobile-friendly design
    • User-friendly customer portal
    • Administrative management dashboard
    • Automated notifications and updates
    • Scalable storage service platform

    Project Information

    • Client: Mr. Deepak
    • Tech Stack:
      • WordPress
      • WooCommerce
    • Year of Completion: As per project records

    Our Contribution

    We developed a customized storage rental platform using WordPress and WooCommerce to support MalleBox’s business model for warehouse-based storage services. The platform was designed to provide customers with a seamless experience for selecting storage options, managing rentals, and completing transactions online.

    WooCommerce was extensively customized to support storage box rentals, subscription management, and service-based workflows. The solution included customer management features, administrative tools, and a responsive interface that ensured accessibility across desktop and mobile devices.

    The platform was optimized for performance, usability, and scalability, enabling the client to efficiently manage storage operations while delivering a convenient and secure experience for customers.

    Note

    MalleBox was developed to simplify storage management by combining secure warehouse services with a user-friendly digital platform. Through custom WordPress development and WooCommerce integration, the solution enables customers to conveniently rent, manage, and monitor storage services while providing administrators with effective tools to oversee storage operations and customer relationships.

  • CandidateTV

    CandidateTV is an innovative recruitment platform designed to modernize and streamline the hiring process through video-based candidate assessments and interviews. Built on WordPress with WooCommerce integration, the platform enables recruiters, hiring managers, and organizations to efficiently evaluate candidates using recorded or live video interactions, reducing the time and logistical challenges associated with traditional recruitment methods.

    The solution provides a seamless experience for both recruiters and job seekers by combining an intuitive user interface with customized recruitment workflows. CandidateTV helps organizations improve hiring efficiency, expand their talent reach, and make more informed recruitment decisions through video-driven candidate evaluation.

    Key Features

    • Video-based recruitment platform
    • Candidate video interview management
    • Recruiter and candidate dashboards
    • Job and recruitment workflow management
    • Custom WordPress-based solution
    • WooCommerce integration for subscription and service management
    • Candidate profile management
    • Secure video submission and review process
    • Responsive and mobile-friendly design
    • User registration and authentication
    • Administrative management tools
    • Scalable recruitment infrastructure

    Project Information

    • Client: Mr. Deepak
    • Tech Stack:
      • WordPress
      • WooCommerce
    • Year of Completion: As per project records

    Our Contribution

    We developed a customized recruitment platform using WordPress and WooCommerce, tailored specifically for video-based hiring workflows. The solution involved extending WordPress capabilities through custom development and integrating recruitment-focused features to support candidate onboarding, interview management, and recruiter collaboration.

    WooCommerce was integrated to facilitate subscription models, service packages, and platform monetization requirements. The platform was optimized for usability, performance, and scalability, ensuring a smooth experience for recruiters managing multiple hiring campaigns and candidates participating in video interviews.

    Additionally, we implemented responsive design principles and streamlined administrative workflows to help recruiters efficiently manage candidate evaluations and recruitment activities.

    Note

    CandidateTV was developed to transform traditional recruitment processes by introducing a flexible and scalable video interview ecosystem. By combining the content management capabilities of WordPress with customized recruitment workflows and WooCommerce-powered business functionality, the platform enables organizations to conduct faster, more effective, and geographically unrestricted hiring processes.

  • Reviewer Suggest Tool

    Reviewer Suggest Tool is an intelligent research assistance platform developed to help editorial teams, publishers, and research organizations identify suitable peer reviewers for academic and scientific manuscripts. The solution integrates with external scholarly databases and APIs to analyze article content, discover related publications, and identify authors with expertise in similar research domains.

    The system leverages data from PubMed and NCBI to search for articles related to a submitted manuscript and evaluate the contributions of authors within those publications. By examining publication history, subject relevance, and research involvement, the tool assists users in discovering qualified reviewers who possess domain expertise and relevant academic experience.

    This automation significantly reduces the time and effort required to identify potential reviewers while improving the quality and accuracy of reviewer selection processes.

    Key Features

    • Reviewer recommendation engine
    • API-based scholarly article search
    • Integration with PubMed and NCBI databases
    • Similar article discovery
    • Author contribution analysis
    • Research expertise identification
    • Publication history evaluation
    • Automated reviewer suggestions
    • Real-time search and retrieval
    • Editorial workflow support
    • Responsive Angular-based interface
    • Scalable research data processing

    Project Information

    • Client: Mr. Ganesh, Straive
    • Tech Stack:
      • Angular 13
      • PHP
      • Python
      • PubMed API
      • NCBI Integration
    • Project Duration: January 2021 – January 2024

    Our Contribution

    We developed and integrated a reviewer recommendation solution within an Angular-based application to support academic publishing workflows. The frontend provided an intuitive search and analysis interface, while PHP and Python services handled API integrations, data processing, and reviewer recommendation logic.

    The system communicates with PubMed and NCBI services to retrieve relevant research publications, identify authors associated with similar studies, and analyze their contributions across multiple articles. Based on this information, the application generates reviewer suggestions that align closely with the subject matter of the manuscript under review.

    The implementation streamlined reviewer discovery processes, reduced manual research efforts, and enabled editorial teams to make informed reviewer selection decisions more efficiently.

    Note

    The Reviewer Suggest Tool was developed to enhance academic publishing and peer-review workflows through intelligent research analysis and automation. By leveraging trusted scientific databases and advanced author discovery mechanisms, the solution helps organizations identify qualified reviewers more accurately, improving both the efficiency and quality of the manuscript review process.

  • Google Chrome Plugin

    Google Chrome Plugin is a browser automation enhancement project developed to streamline repetitive data entry and content mapping tasks across web applications. The project involved extending an existing Chrome extension with intelligent copy-and-paste functionality that enabled users to transfer information seamlessly from a source page to a destination page containing multiple rows of form elements and dropdown fields.

    The solution was designed to reduce manual effort, improve accuracy, and accelerate data processing workflows. Based on the content copied from the source page, the plugin automatically identified corresponding fields in the destination interface and selected appropriate dropdown values, ensuring consistent and efficient data population.

    By automating repetitive form-filling operations, the plugin significantly improved productivity for users handling large volumes of structured content and data entry tasks.

    Key Features

    • Custom Chrome extension enhancement
    • Intelligent copy-and-paste automation
    • Automated form population
    • Dynamic dropdown value selection
    • Multi-row data mapping support
    • Browser-based workflow automation
    • Reduced manual data entry effort
    • Content-driven field matching
    • Improved processing accuracy
    • Lightweight and efficient implementation
    • Seamless integration with existing workflows
    • Enhanced user productivity

    Project Information

    • Client: Mr. Ganesh, Straive
    • Tech Stack:
      • Vanilla JavaScript
    • Project Duration: January 2021 – January 2024

    Our Contribution

    We enhanced an existing Google Chrome extension by implementing a custom automation module that facilitated intelligent data transfer between web pages. Using Vanilla JavaScript, we developed functionality that captured selected content from a source page and automatically mapped it to corresponding fields on a destination page.

    A key aspect of the solution was the dynamic identification and selection of dropdown values across multiple rows of form elements. The plugin analyzed the copied content, matched it against available options, and populated the appropriate fields without requiring manual user intervention.

    The implementation improved operational efficiency, minimized human errors, and streamlined repetitive browser-based workflows for end users.

    Note

    The Google Chrome Plugin enhancement was developed to simplify complex data-entry processes and increase workflow efficiency. By automating content mapping and dropdown selection across web applications, the solution reduced repetitive tasks, improved accuracy, and delivered measurable productivity gains for users managing large volumes of structured information.

  • Image Annotation Tool

    Image Annotation Tool is an advanced image review and markup solution developed to enable users to identify, classify, and manage Regions of Interest (ROI) within images. The project involved integrating the open-source Annotorious annotation framework into an Angular-based application and extending its functionality to meet specialized business requirements.

    The solution allows users to create structured image annotations, classify selected regions, and manage annotation metadata through an enhanced user interface. As part of the implementation, a custom dropdown selection module was developed as an extension to the Annotorious framework, enabling users to categorize annotations efficiently and improve annotation consistency across large image datasets.

    To optimize performance and reduce dependency on external storage systems, the application implements a browser-side caching mechanism that stores 50–60 images locally. Images retrieved from third-party storage services are converted into Base64 format and cached for rapid access, enabling smoother navigation and faster annotation workflows.

    Key Features

    • Region of Interest (ROI) image annotation
    • Annotorious framework integration
    • Custom annotation classification module
    • Dropdown-based annotation categorization
    • Interactive image markup and labeling
    • Browser-side image caching
    • Base64 image storage and retrieval
    • Optimized loading for large image collections
    • Third-party storage integration
    • High-performance image navigation
    • Annotation metadata management
    • Scalable image review workflow

    Project Information

    • Client: Mr. Ganesh, Straive
    • Tech Stack:
      • Angular 12
      • Annotorious
    • Project Duration: January 2021 – January 2024

    Our Contribution

    We integrated the Annotorious open-source image annotation framework into an Angular 12 application and customized it to support project-specific annotation requirements. A significant enhancement included the development of a custom dropdown selection module that extended the native functionality of Annotorious, enabling users to classify and manage annotations more effectively.

    In addition, we designed and implemented a browser-based image caching mechanism capable of storing approximately 50–60 images locally. Images fetched from third-party storage services were converted into Base64 format and cached for efficient retrieval, significantly reducing loading times and improving the overall user experience during annotation-intensive workflows.

    The solution provided a robust platform for image review, region identification, and metadata management while maintaining high performance across large image collections.

    Note

    The Image Annotation Tool demonstrates the successful integration and extension of open-source technologies to address specialized image processing and review requirements. By combining advanced annotation capabilities with intelligent client-side caching, the solution improved annotation efficiency, enhanced user productivity, and delivered a responsive experience for large-scale image analysis workflows.

  • PDF Annotation Tool

    PDF Annotation Tool is a document markup and review solution integrated into an Angular-based application to enable users to create, manage, and visualize annotations directly within PDF documents. The solution was developed to support document review, content validation, quality assurance, and publishing workflows by allowing users to annotate text, images, and other document elements based on dynamic input data.

    The system provides an intuitive interface for adding annotations, comments, highlights, and visual markers within PDF files. Annotation data is dynamically generated from configurable input fields, enabling users to create structured and context-aware markup that can be used for review, correction, approval, and content enhancement processes.

    Key Features

    • PDF document viewing and navigation
    • Text-based annotation creation
    • Image annotation support
    • Dynamic annotation generation
    • Configurable input-driven markup
    • Interactive document review workflow
    • Highlighting and commenting capabilities
    • Real-time annotation rendering
    • User-friendly annotation interface
    • Scalable document processing support
    • Seamless Angular application integration
    • Enhanced quality assurance workflows

    Project Information

    • Client: Mr. Ganesh, Straive
    • Tech Stack:
      • Angular 10
      • PDF Viewer Integration
    • Project Duration: January 2021 – January 2024

    Our Contribution

    We integrated a comprehensive PDF annotation solution into an existing Angular 10 application to facilitate document review and markup processes. The implementation focused on enabling users to generate annotations dynamically based on structured input fields while maintaining a smooth and responsive user experience.

    The solution supported annotation placement on both text and image elements within PDF documents, allowing reviewers to efficiently identify issues, provide feedback, and manage document revisions. We customized the annotation workflow to align with business requirements and ensured seamless interaction between the PDF viewer and the application’s data management processes.

    The integration significantly improved review efficiency, reduced manual communication overhead, and streamlined document validation workflows.

    Note

    The PDF Annotation Tool was developed to enhance document review and collaboration processes by providing a structured and interactive annotation environment. Through seamless PDF viewer integration and dynamic annotation generation capabilities, the solution enabled users to review, comment on, and manage document updates more efficiently while maintaining accuracy and consistency throughout the review lifecycle.

  • Collaborative Work

    Collaborative Work is a real-time editor collaboration solution developed to enable multiple users to work together seamlessly within a shared editing environment. The platform was designed to enhance productivity and teamwork by allowing users to collaborate on content simultaneously, view updates in real time, and communicate effectively while working on the same document or workspace.

    The solution leveraged TogetherJS, an open-source collaboration framework from Mozilla Firefox, to provide live synchronization of user actions, cursor movements, and editing activities. In addition to the collaboration features, backend infrastructure and Apache proxy configurations were implemented to ensure secure communication, reliable connectivity, and efficient handling of collaborative sessions across multiple users.

    Key Features

    • Real-time collaborative editing
    • Multi-user workspace synchronization
    • Live cursor and activity tracking
    • Instant content update sharing
    • Session-based collaboration management
    • User presence monitoring
    • Shared editing environment
    • Apache proxy configuration support
    • Scalable real-time communication architecture
    • Responsive web-based interface
    • Secure session handling
    • Enhanced team productivity workflows

    Project Information

    • Client: Mr. Ganesh, Straive
    • Tech Stack:
      • Node.js
      • React
      • TogetherJS
    • Project Duration: January 2021 – January 2024

    Our Contribution

    We implemented a collaborative editing platform that enabled multiple users to interact within a shared workspace in real time. The frontend was developed using React to provide a responsive and interactive user experience, while Node.js supported the backend integration and communication requirements.

    A key aspect of the project was the integration of TogetherJS to facilitate live collaboration features such as synchronized editing, user presence tracking, and real-time activity sharing. We also contributed to the backend infrastructure setup by configuring Apache reverse proxy services, ensuring stable routing, secure connections, and seamless communication between collaborative sessions and backend services.

    The implementation provided users with a smooth collaborative experience while maintaining performance, reliability, and scalability across concurrent editing sessions.

    Note

    The Collaborative Work solution was developed to support modern teamwork and content production workflows where multiple users need to work simultaneously on shared resources. By combining real-time synchronization technologies with robust server infrastructure, the platform enabled efficient collaboration, improved communication, and streamlined content creation processes for distributed teams.

  • Find & Replace

    Find & Replace is an automated HTML content transformation solution developed to process and modify large volumes of structured HTML documents based on configurable business rules. The system was designed to eliminate manual content editing by recursively traversing HTML structures, extracting relevant content, and applying rule-based modifications defined through JSON configurations.

    Using a custom recursive processing engine and the Cheerio library for server-side DOM manipulation, the solution intelligently analyzes HTML documents, identifies target elements, updates content and attributes, and restructures markup according to predefined transformation rules. This automation significantly improves efficiency, consistency, and accuracy in large-scale content migration, publishing, and document standardization workflows.

    Key Features

    • Recursive HTML content processing
    • Automated find-and-replace operations
    • JSON-driven transformation rules
    • HTML structure modification and restructuring
    • DOM parsing and manipulation using Cheerio
    • Batch content processing capabilities
    • Attribute and element replacement
    • Content standardization workflows
    • Rule-based document transformation
    • High-performance processing engine
    • Scalable architecture for large datasets
    • Reduced manual editing effort

    Project Information

    • Client: Mr. Ganesh, Straive
    • Tech Stack:
      • Node.js
      • Cheerio
    • Project Duration: January 2021 – January 2024

    Our Contribution

    We developed a custom HTML transformation engine capable of processing complex document structures and applying dynamic content modifications based on configurable JSON rules. The solution utilized recursive algorithms to traverse nested HTML elements and accurately identify target content throughout entire document hierarchies.

    By leveraging Cheerio for DOM manipulation, the system efficiently performed content replacement, structural updates, attribute modifications, and markup restructuring while preserving document integrity. The rule-based architecture allowed business users to define transformation requirements through JSON configurations without requiring code changes.

    The implementation significantly reduced manual effort, improved processing speed, and ensured consistency across large-scale document transformation projects.

    Note

    The Find & Replace solution demonstrates the effectiveness of automated content processing in publishing and document management environments. Through recursive HTML analysis and configurable transformation rules, the system provides a scalable and reliable approach for maintaining consistency, accelerating content updates, and supporting large-scale document standardization initiatives.

  • Session Management

    Session Management is a real-time access control system developed to ensure that a specific file, resource, or URL can be accessed and modified by only one authorized user at a time across all browsers and devices. The solution was designed to prevent concurrent access conflicts, data inconsistencies, and accidental overwrites in collaborative content processing environments.

    The system maintains active session information, file ownership, user activity, and resource locations within a centralized database. Using WebSocket-based real-time communication, the application instantly updates access status and permissions, ensuring that once a user acquires control of a resource, other users are prevented from editing or accessing the same resource until it is released.

    This approach provides robust file locking, session tracking, and permission management capabilities, making it ideal for environments where data integrity and controlled access are critical.

    Key Features

    • Single-user access control for specific URLs and resources
    • Real-time session tracking and monitoring
    • WebSocket-based communication and synchronization
    • Resource locking and unlocking mechanism
    • File ownership management
    • Dynamic permission allocation
    • Browser-independent session control
    • Concurrent access prevention
    • Real-time user activity updates
    • MongoDB-based session storage
    • Secure authentication and authorization
    • Scalable architecture for high-volume operations

    Project Information

    • Client: Mr. Ganesh, Straive
    • Tech Stack:
      • Node.js
      • React
      • Socket.IO (WebSocket Communication)
      • MongoDB
    • Project Duration: January 2021 – January 2024

    Our Contribution

    We designed and developed a real-time session management platform capable of enforcing exclusive access to specific files, URLs, and resources across multiple users and browsers. The backend was implemented using Node.js, while React provided a responsive and interactive user interface. MongoDB was utilized for storing session states, file ownership information, and access records.

    A major component of the solution was the implementation of WebSocket communication using Socket.IO, enabling instant synchronization of session information between connected users. The system automatically locks resources when accessed, updates permissions in real time, and releases ownership upon completion, ensuring data consistency and preventing access conflicts.

    Additionally, we implemented monitoring and permission management mechanisms that allow administrators to track active sessions, manage resource ownership, and maintain complete control over file access workflows.

    Note

    The Session Management system was developed to address the challenges of concurrent resource access in collaborative environments. By combining real-time communication, centralized session tracking, and intelligent permission management, the solution ensures data integrity, improves operational efficiency, and provides a seamless user experience while maintaining strict control over resource access.

  • Bulk Image Processing

    Bulk Image Processing is a custom automation solution developed as a JavaScript plugin for Adobe Photoshop to streamline large-scale image transformation workflows. The project was designed to eliminate repetitive manual image editing tasks by enabling users to import thousands of images from specified folders, automatically process them based on configurable parameters, and export them in the required formats and resolutions.

    The plugin reads processing instructions from JSON configuration files, allowing users to define image dimensions, scaling rules, resolution settings, and transformation requirements without modifying the application code. This automation significantly improves productivity, consistency, and processing speed for organizations handling high volumes of digital assets and publishing workflows.

    Key Features

    • Bulk image import from specified directories
    • Photoshop plugin-based automation
    • JSON-driven configuration and processing
    • Automatic image resizing
    • Dynamic height and width adjustments
    • Resolution transformation and optimization
    • Batch image processing workflows
    • Consistent output generation
    • Reduced manual editing effort
    • High-volume image handling capability
    • Customizable processing rules
    • Error handling and process validation

    Project Information

    • Client: Mr. Ganesh, Straive
    • Tech Stack:
      • Adobe Photoshop
      • JavaScript
    • Project Duration: January 2021 – January 2024

    Our Contribution

    We designed and developed a custom Photoshop automation plugin to address complex bulk image processing requirements. The solution was built using JavaScript and integrated directly with Adobe Photoshop, enabling seamless automation of repetitive image editing tasks.

    A key aspect of the project was the implementation of a JSON-driven processing engine that dynamically applied resizing, scaling, and resolution transformations based on predefined specifications. The plugin automatically imported images from designated folders, processed them according to business rules, and generated standardized outputs with minimal human intervention.

    The solution substantially reduced processing time, improved output consistency, and enhanced operational efficiency for large-scale digital publishing and content production workflows.

    Note

    The Bulk Image Processing solution demonstrates the power of workflow automation in creative and publishing environments. By integrating directly with Adobe Photoshop and leveraging configurable processing rules, the system enabled efficient handling of large image volumes while maintaining accuracy, consistency, and quality across all generated assets.