Aishwarya Balaraddi

I’m a motivated, detail-oriented Computer Science and Engineering (BE) student with hands-on experience in full-stack development using React, FastAPI, and Tailwind CSS. I’ve worked across backend development, database management, and deploying AI-powered web applications, and I genuinely enjoy problem-solving and learning new technologies.

As a Machine Learning Intern at NITK (National Institute of Technology Karnataka), I developed a deep learning-based crop prediction system that identifies crop types and estimates yield per acre from uploaded images using the MobileNetV2 architecture. I deployed the model through a Streamlit web application to deliver real-time, user-friendly crop yield predictions, applying machine learning and computer vision to real-world agricultural challenges.

In my projects, I built NoteNinja, an AI-Powered Smart Study Assistant, using FastAPI (backend), React (frontend), and Tailwind CSS. I implemented FAISS-based semantic search, PDF understanding, AI-powered Q&A, secure login, personalized dashboards, attendance tracking, and instant document search—published in IJRPR (2025). I also created a Code Sequence Puzzle Website with HTML, CSS, and JavaScript, including real-time feedback, hints, multiple difficulty levels, and a responsive interface.