MADHUPRIYA T

Aspiring IT professional eager to leverage skills in software development, troubleshooting, and problem-solving to drive organizational success

Project 1: Chains and Links Device Connectivity using BFS

Duration: February 2023 – May 2023

Explanation: This project aimed to create a system to check how devices are connected in a network. By using the Breadth-First Search (BFS) algorithm, the system could explore all possible connections between devices It helped identify whether devices could communicate and ensured smooth data transfer. The solution improved network stability and reduced latency by 30%, making it suitable for applications like IoT and smart device networks

Project 2: Emotion detection using text (chatbot-based)

Duration: June 2023 – August 2023

Explanation: This project focused on identifying user emotions from text messages in a chatbot. Natural language processing (NLP) techniques were used to analyze user inputs and classify emotions such as happiness, anger, sadness, and surprise. A deep learning model was trained on a labeled dataset, achieving 92% accuracy in emotion classification, and the system enhances chatbot interaction by making it more human-like and responsive to user feelings

Project 3: Stock price prediction

Duration: September 2023 – November 2023

Explanation: In this project, a machine learning model was developed to predict stock prices using historical market data. Various ML algorithms were applied to identify patterns and trends in stock movements The model helped forecast future prices with 85% accuracy, assisting in better decision-making for investors The project also involved data preprocessing, feature selection, and model evaluation for improving accuracy

Project 4: Fundraiser website using MERN stack

Duration: March 2024 – August 2024

Explanation: This project involved building a full-stack web application for online fundraising using the MERN stack (MongoDB, Express.js, React.js, Node.js). The platform allowed users to create campaigns, donate funds, and track progress in real time. It included features like user authentication, secure payment integration, and responsive design, and the project showcased skills in both front-end and back-end development, along with database management

• Certified in DBMS from Pantech eLearning – June 2022
• Completed IoT and AI Cloud course from Infosys Springboard – November 2023
• Completed Fundamentals of Cloud Computing from IBM – November 2023
• Certified in Foundation of Prompt Engineering from AWS – June 2024
• Completed Developer & Technology Virtual Job Simulation from Accenture UK – November 2024
• Certified in AWS Cloud Practitioner Essentials from AWS – April 2025

• Awarded a Merit Scholarship by the Lila Poonawalla Foundation for outstanding academic performance during the 2nd year of B.Tech.