Abhiram
Ashok

Lumin is a mobile application that provides transparent placement insights by centralizing recruitment data, alumni networks, and career trajectories. It addresses the lack of reliable placement information, where students often rely on spreadsheets, messaging groups, and informal discussions. The platform consolidates placement statistics, company insights, interview experiences, and alumni outcomes into a structured mobile experience. Alumni can also publish blogs to share their placement journeys, interview experiences, and career advice. Built with React Native, TypeScript, and Supabase, it emphasizes reusable components, real-time synchronization, and mobile-first usability to help students make informed career decisions.

GymTrack is a QR-based attendance management application designed for gyms and fitness centers. The project replaces manual attendance registers with a digital workflow that simplifies check-ins for both members and administrators. Members can scan QR codes to record attendance, while administrators gain access to dashboards, attendance records, and operational insights. Built using React Native and TypeScript, the application follows a mobile-first architecture with clearly separated member and administrator experiences. The engineering focus is on reliability, usability, and streamlined attendance tracking for environments that require fast and accurate daily operations.

Checkio is an automated programming evaluation platform developed to simplify the assessment of coding assignments and laboratory examinations. It allows educators to define test cases, execute programs automatically, verify outputs, identify implementation errors, and generate meaningful feedback for students. The project was created to reduce the repetitive effort involved in manually evaluating large batches of submissions while maintaining consistency in grading. Built around automated execution and validation workflows, the system combines program evaluation, error analysis, and result management into a single solution focused on scalable and objective assessment.

MediScribe is an AI-powered clinical documentation platform designed to reduce the administrative burden placed on healthcare professionals. It addresses physician burnout caused by repetitive documentation and manual record creation during consultations. The system transforms doctor–patient conversations into structured medical documentation through speech processing, entity extraction, clinical summarization, and automated note generation workflows. Built using a modern React and TypeScript frontend with AI-assisted processing pipelines, the platform focuses on organizing symptoms, medications, diagnoses, and treatment information into searchable clinical records. The engineering effort centers on improving documentation efficiency while maintaining clarity and usability.

RITCompass is a college enquiry platform that provides verified information about academic and administrative procedures through a conversational interface. The project was developed to solve the problem of fragmented institutional knowledge, where students often struggle to find accurate information regarding college processes. It enables users to query procedures, services, scholarships, and campus-related information using natural language while retrieving structured responses from curated institutional data. Built with React, TypeScript, Node.js, Express, and MongoDB, the system focuses on reliable information retrieval, maintainable knowledge management, and an accessible user experience.