Django based complete website
Budget: ₹12,500 – ₹37,500 INR
The project aims to construct a web-based platform that enables specialized statistical analyses on research data, with an initial focus on Multi-Criteria Decision Making (MCDM) and Structural Equation Modeling (SEM). The platform will be developed using the Django framework and will integrate existing open-source Python packages for SEM and MCDM. The architecture will be modular to allow for scalability and the addition of new features and tests in the future.
2. Introduction
Background
Statistical analyses are crucial in research across various domains. However, the lack of a centralized, user-friendly platform for conducting these analyses has been a significant gap in the research community. This project aims to fill this gap by providing a comprehensive, scalable, and secure web-based platform.
Objectives
To develop a web-based platform for statistical analyses
To integrate existing open-source Python packages for SEM and MCDM
To ensure scalability and extensibility
3. Scope of Work
3.1 Functional Requirements
User Authentication and Authorization
Users can register using an email address.
Email verification for new accounts.
Secure login and logout functionality.
Role-based access control to differentiate between administrative and regular user capabilities.
Dashboard
Users can view a summary of their past analyses.
Access to saved data sets and configurations.
Profile management options, including password change and account deletion.
Data Upload and Management
Support for uploading data in CSV, Excel, and SPSS formats.
Data validation to check for missing values, outliers, and format inconsistencies.
Metadata management to store additional information about the data sets.
Statistical Analysis
Integration of open-source Python packages for SEM and MCDM.
MCDM Analysis
SEM Analysis
Result Presentation
Results will be presented in graphical formats such as scatter plots and path diagrams.
Option to download reports in PDF and Word formats.
Subscription Plans
A free tier with limited functionalities.
Premium tiers with advanced features and priority support.
Audit and Logs
Comprehensive logs of user activities for auditing purposes.
Error logs to assist in debugging and performance optimization.
Performance
The system will be optimized for low latency and high availability.
Scalability
The architecture will be modular to facilitate the addition of new features and tests.
Usability
The UI/UX will be designed to be intuitive and user-friendly.
Timeline : One Month
2. Introduction
Background
Statistical analyses are crucial in research across various domains. However, the lack of a centralized, user-friendly platform for conducting these analyses has been a significant gap in the research community. This project aims to fill this gap by providing a comprehensive, scalable, and secure web-based platform.
Objectives
To develop a web-based platform for statistical analyses
To integrate existing open-source Python packages for SEM and MCDM
To ensure scalability and extensibility
3. Scope of Work
3.1 Functional Requirements
User Authentication and Authorization
Users can register using an email address.
Email verification for new accounts.
Secure login and logout functionality.
Role-based access control to differentiate between administrative and regular user capabilities.
Dashboard
Users can view a summary of their past analyses.
Access to saved data sets and configurations.
Profile management options, including password change and account deletion.
Data Upload and Management
Support for uploading data in CSV, Excel, and SPSS formats.
Data validation to check for missing values, outliers, and format inconsistencies.
Metadata management to store additional information about the data sets.
Statistical Analysis
Integration of open-source Python packages for SEM and MCDM.
MCDM Analysis
SEM Analysis
Result Presentation
Results will be presented in graphical formats such as scatter plots and path diagrams.
Option to download reports in PDF and Word formats.
Subscription Plans
A free tier with limited functionalities.
Premium tiers with advanced features and priority support.
Audit and Logs
Comprehensive logs of user activities for auditing purposes.
Error logs to assist in debugging and performance optimization.
Performance
The system will be optimized for low latency and high availability.
Scalability
The architecture will be modular to facilitate the addition of new features and tests.
Usability
The UI/UX will be designed to be intuitive and user-friendly.
Timeline : One Month