Web Platform Reverse-Analysis & Custom Implementation

Budget: ₹12500 - ₹37500

We intend to analyze an existing web-based platform in order to understand its structure, features, workflows, and architecture. The objective is not to copy proprietary code but to study the overall system design and develop an independent implementation with similar functionality, improved performance, and customized features.

The development team is expected to follow a structured reverse-analysis approach consisting of the following stages:

Technology Stack IdentificationThe first step is to identify the technologies used in the platform, including frontend frameworks, backend technologies, database systems, hosting infrastructure, and third-party integrations. This helps determine the most suitable technology stack for rebuilding the system.

User Interface and Navigation AnalysisThe platform should be examined from a user perspective to identify all main pages, dashboards, navigation menus, and interactive components. Each screen should be documented and categorized according to its purpose, such as dashboard views, analytics pages, management panels, or reporting modules.

Feature Mapping and Functional BreakdownAll available features should be identified and organized into logical modules. Each module should have a clear description of its functionality, inputs, outputs, and expected user actions. This will help define the system's overall feature set and guide the product design.

Workflow and Business Logic AnalysisThe operational workflows of the system should be studied to understand how data flows between different modules. Typical workflows include processes such as data entry, reporting, analytics generation, customer interactions, inventory tracking, or transaction processing. These workflows should be documented step-by-step.

API and Data Communication AnalysisNetwork activity should be examined to identify how the frontend communicates with the backend. This includes identifying request endpoints, response structures, and data exchange patterns. The goal is to understand the logical structure of the platform's service layer so that a new API architecture can be designed.

Database Structure InferenceBased on observed features and data flows, the likely database schema should be inferred. This includes identifying the main entities (such as users, products, orders, customers, transactions, etc.) and deg the relationships between them. A normalized relational database structure should be proposed.

System Architecture PlanningAfter gathering the above insights, a complete system architecture should be designed. This architecture should include the frontend application, backend services, database layer, analytics processing components, and external integrations. The design should prioritize scalability, performance, and modular development.

UI Wireframes and Screen PlanningWireframes should be created for all screens identified during the analysis stage. These wireframes should define the layout of dashboards, charts, tables, filters, and navigation components to ensure consistency in the final application.

Documentation and Technical SpecificationThe final outcome of this analysis phase should include the following deliverables:

Feature list and module breakdown

Complete screen list

Database schema proposal

API structure design

System architecture diagram

UI wireframes for major screens. Later make the same website with changes and modifications as per our business needs. Need to make website and android app