I'm Shruti,
riding the tech wave with a laptop and wild ideas.
About
I am a final-year Computer Science student driven by a passion for technology and innovation. With hands-on experience across a wide range of software development technologies, I have contributed to a number of impactful projects in various domains. I thrive on solving real-world challenges through code and have a growing interest in research and emerging technologies. Always eager to learn, I embrace new challenges and aim to use my skills to make a meaningful difference in the world.
Download CVExperience
Fr. Conceicao Rodrigues Institute of Technology
Research Assistant
July 2024 - Jan 2025
- Conducted extensive literature surveys and practical implementations on advanced NLP techniques, including LDA, BERT, and transformer-based models.
- Explored intersections of Quantum Computing with Natural Language Processing, focusing on Quantum Machine Learning (QML) algorithms and their real-world applicability.
- Co-authored and published peer-reviewed research papers indexed in IEEE Xplore.
- Applied research findings in academic and application-based projects, contributing to both theoretical insights and practical innovation.
Education
University of Mumbai
Bachelor of Engineering in Computer Engineering
Jun 2021 - May 2025
Currently pursuing a degree in Computer Engineering, where I have consistently ranked among the top 10% of my class. I stood 3rd in semester 4 and 2nd in my third year. My academic journey has been shaped by in-depth coursework in subjects like Data Structures, Operating Systems, Machine Learning, and Big Data Analytics. Each semester, I engaged in theory lectures, practical lab sessions, and real-world applications through assignments and skill-based labs. My exposure spans areas such as Artificial Intelligence, Blockchain, Cryptography, and Compiler Construction, among others.
Pace Junior Science College, Nerul
Higher Secondary School
I pursued my higher secondary education at Pace Junior Science College, opting for the science stream with a focus on Physics, Chemistry, and Mathematics. The competitive and academically rigorous environment at Pace helped sharpen my problem-solving skills and laid the groundwork for my transition into engineering and research.
New Horizon Public School, New Panvel
Primary and Secondary School
I completed my school education at New Horizon Public School, where I developed a strong academic foundation and a deep-rooted curiosity for science and mathematics. It was here that I began to explore technology beyond textbooks, participating in various scholastic activities that nurtured both analytical and creative thinking.
Projects
Here are some of my favorite projects that I have worked on recently.
FoodMO: A Food Nutrient Analysis Application
FoodMO is a cutting-edge application designed to simplify food label interpretation using OCR and Random Forest. It helps users make healthier dietary choices by extracting text from food labels and analyzing the nutritional content of packaged foods. The system also provides personalized recommendations for healthier alternatives, making it a valuable tool for promoting well-informed eating habits.
- OCR
- Random Forest
- Cosine Similarity
Physics IRL
Physics IRL is an augmented reality (AR) application that simplifies physics concepts like frictional and gravitational forces. Using camera permissions, the app detects horizontal planes via the AR Plane Manager. Plane is shown as a dotted mesh on which users can place 3D objects on the plane to study gravitaionl force. To explore frictional force, Unity's AR Tracked Image Manager tracks predefined images in a Tracked Images Library, enabling precise placement of 3D models. The implementation has been done using custom C# scripts. With realistic textures and interactive simulations, Physics IRL provides an immersive experience, and making physics easy to imagine and understand.
- Unity
- C#
- Object Detection
ToDo List: Cloud-Based Multi-Device To-Do List Application
This project utilizes AWS EC2, Security Groups, and Django to create a scalable, cloud-based to-do list application with automatic scaling, reducing operational overhead. Built with Python, it enables seamless task management through collaborative features, allowing multiple users to create, update, and manage lists in real-time and access on multiple devices simultaneously. The application supports full CRUD operations, ensuring efficient functionality with minimal latency and high availability. Its responsive design provides accessibility across devices, fostering productivity and idea-sharing in a shared digital workspace.
- Django
- AWS EC2
- Security Groups
MyReckList
This website is designed to recommend movies and books tailored to user preferences based on their ratings. By leveraging the Alternating Least Squares (ALS) algorithm, it implements collaborative filtering to analyze user behavior and predict personalized recommendations. The system processes user data to identify patterns and suggest the top 10 most relevant movies and books, ensuring a highly accurate and user-centric experience. Whether a user is exploring new genres or looking for similar content, the platform delivers recommendations that align with their tastes, enhancing discovery and engagement. This approach optimizes content curation, offering users a seamless, enjoyable experience.
- Website
- Collaborative Filtering
Umanità
Umanità is a website designed to help NGOs create and manage their own websites, providing them with a virtual presence in the world. Built using HTML, CSS, and JS, Umanità allows organizations to design customizable websites that reflect their unique missions and goals. The platform provides tools for easy content management, allowing NGOs to display information, share updates, and engage with their audience seamlessly. Key features include donation integrations, event listings, and volunteer sign-up forms, to support the NGOs' objectives. Umanità simplifies website creation, enabling organizations to focus on their core mission while enhancing their online reach and impact.
- Website
- Web Development Template
ECG Report Analysis Leveraging Generative AI
This tool utilizes CNNs to analyze and classify ECG reports with 92% accuracy, identifying multiple heart conditions. It provides users with a simplified analysis tailored to their profile. Integrating Generative AI, it aims to enable users to interact with an LLM model for better understanding, suggesting lifestyle changes, and locating nearby cardiologists. Additionally, the tool plans to offer insights into the heart's potential future condition based on current trends. While ECG classification is complete, further development is focused on enhancing the LLM-powered interaction and predictive insights, making it a comprehensive solution for heart health monitoring and guidance.
- CNN Models
- Generative AI
Publications
My research has been published in prestigious IEEE and Springer platforms—browse them below.
Research on Trend Analysis Using LDA and NMF
This research investigates trend identification on Instagram by leveraging Latent Dirichlet Allocation (LDA) and Non-Negative Matrix Factorization (NMF), offering valuable insights into evolving online trends.
Published in IEEE Xplore.View Paper
Smart Contract Implementation and Research Study
This study presents a decentralized Vehicle-to-Grid (V2G) Load Management system that facilitates efficient energy transfers between Electric Vehicles (EVs) and the power grid using smart contracts. Developed in Solidity on the Ethereum blockchain, the system dynamically manages grid demand while ensuring secure transactions. This research highlights the potential of blockchain technology in enhancing energy management, paving the way for sustainable EV integration and smart grid operations
Published in IEEE Xplore.View Paper
Technical Paper on Application Implementation
This paper discusses the development of FoodMO, a mobile application that uses OCR and machine learning to analyze food nutrients, aiming to provide healthier dietary options through automated analysis.
Published in Springer LNNS Series.View Paper
Comprehensive Literature Review
A thorough survey of NLP techniques, this paper covers the latest approaches, real-world applications, and future directions for research in natural language processing.
Published in IEEE Xplore.View Paper
Literature Survey
This paper provides an extensive survey of the current applications of quantum computing, highlighting emerging opportunities and key challenges that need to be addressed for its future growth.
Published in IEEE Xplore.View Paper
Get In Touch
I would love to interact with you :)
Whether you have a question or just
want to chat about what model to choose for your next ML project, discuss about Gen AI or
web designing —
shoot me a message.