Mokshaa Shree

Frontend Developer

Chennai Institute of Technologyinternship, freelance

Open to roles

Reactnext.jsHTML/CSS

ChronoGraph - AI

Problem Solved Students accumulate hundreds of academic and professional documents over the years. Traditional cloud storage systems can store these files but cannot understand their relationships or growth journey. ChronoGraph AI transforms fragmented documents into an intelligent digital identity that automatically organizes, connects, and retrieves information. Key Innovation Unlike traditional document storage systems, ChronoGraph AI combines Artificial Intelligence, Natural Language Processing, Semantic Search, and Knowledge Graphs to create a living digital identity. The platform understands the meaning behind every uploaded document and builds meaningful relationships across projects, certifications, internships, and skills. AI Capabilities Automatic document understanding AI-powered categorization Entity extraction Knowledge graph generation Semantic document retrieval Digital journey timeline Explainable AI responses Technical Highlights Event-driven processing pipeline Retrieval-Augmented Generation (RAG) Vector embeddings for semantic similarity Knowledge Graph (LifeGraph) Intelligent timeline generation Explainable AI with document citations Why This Project Stands Out Not another cloud storage platform Not just an AI chatbot Creates a connected digital identity Preserves original documents while building an intelligent knowledge layer Demonstrates modern AI engineering concepts in a practical student-focused application Future Scope University digital identity integration Placement and recruiter dashboard AI career guidance Skill gap analysis Research portfolio management Lifelong professional digital identity Expected Impact ChronoGraph AI enables students to instantly retrieve, understand, and showcase their academic and professional journey, reducing the effort of searching through scattered files while presenting a structured and explainable digital identity.

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Queue Cure: AI-Powered Smart Clinic Queue Management & Patient Experience Platform

Traditional clinic queue management systems rely heavily on manual token systems, paper records, and verbal communication. This leads to long patient waiting times, overcrowded waiting areas, poor visibility of queue status, and increased workload for receptionists. Doctors also lack a centralized system to efficiently manage patient flow. There is a need for a smart digital solution that provides real-time queue tracking, appointment management, and seamless communication between patients, receptionists, and doctors to improve the overall healthcare experience. I followed a user-centric approach by first identifying the major challenges faced in clinics and understanding the requirements of three key users: patients, receptionists, and doctors. The solution was designed by breaking the problem into smaller modules: Patient appointment and queue tracking Receptionist queue management Doctor consultation dashboard Real-time communication between all users I then developed a centralized platform that digitizes patient flow and improves transparency using smart queue management features. Created a functional digital clinic queue management platform. Enabled real-time visibility of patient queue status. Reduced dependency on manual queue handling. Improved coordination between patients, receptionists, and doctors. Provided a scalable solution that can be adapted by clinics of different sizes. Reduced patient waiting time through smart queue tracking. Improved clinic operational efficiency with digital management. Enhanced transparency by allowing patients to monitor their queue status. Simplified doctor and receptionist workflow through dedicated dashboards.

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