Hi, I'm Dharani Samudrika

This project focuses on designing and developing an intelligent essay-marking system that evaluates students’ written answers while respecting creativity and semantic meaning, rather than relying on exact keyword matching.

Teachers create essay questions and provide a reference answer. The system generates semantic embeddings from the teacher’s answer using the Gemini API and stores them as a benchmark. When students submit their essay responses, the system generates embeddings for student answers and compares them against the reference embeddings using similarity scoring techniques. Marks are calculated by combining semantic similarity with creativity weighting to reduce unfair penalization of original yet correct answers.

The application supports role-based access for teachers and students, secure submission handling, automated evaluation, feedback generation, and result visibility. Special attention is given to error handling, bias reduction, fallback mechanisms, and audit logging to ensure reliable and transparent evaluation.

A full-stack web application designed to digitally manage student attendance and generate accurate attendance reports for educational institutions. The system supports role-based access for administrators, lecturers, and students, allowing each user to interact with features relevant to their role.

The application enables administrators to manage students, courses, subjects, and class schedules. Lecturers can create class sessions, mark attendance, and view detailed attendance summaries. Students can securely view their personal attendance records and download reports. Attendance data is stored in a relational database and processed to calculate percentages and generate reports over selected time periods.

The frontend is built using React to provide a responsive and interactive user interface, while the backend is implemented with Django and Django REST Framework to handle business logic and API communication. MySQL is used for structured data storage, ensuring data consistency and efficient querying. The project follows a clear separation between frontend, backend, and database layers, making it scalable and maintainable.

EzMenu is a digital hotel menu and food ordering system created to modernize how hotels manage dining services and interact with guests. Many hotels still rely on printed menus and manual order handling, which often causes delays, order mistakes, and difficulty updating menus. EzMenu addresses these issues by replacing traditional workflows with a centralized digital platform that improves accuracy, efficiency, and guest satisfaction.

The system allows hotel guests to view menus digitally, customize food items, and place orders with clarity and ease. Real-time menu updates prevent guests from ordering unavailable items, reducing confusion and frustration. Guests can also leave reviews and search for hotels through the platform, helping hotels build trust and visibility while improving service quality.

EzMenu follows a scalable subscription model. Hotels can start with a free plan that supports basic menu customization and order management for up to 10 tables. Paid plans unlock advanced features such as unlimited tables, enhanced order handling, analytics, system integrations, priority support, and continuous feature updates. This makes the platform suitable for both small hotels and growing hospitality businesses.

Overall, EzMenu focuses on improving the dining experience for guests while helping hotels operate more efficiently, reduce errors, and grow their business through a reliable and user-friendly digital solution.