Hello, I'm

Smitha

ML Researcher & Developer

Specializing in Machine Learning & Medical Image Analysis

import torch from quantum import QuantumML class Researcher: def __init__(self): self.name = "Smitha" self.focus = "QML" self.passion = "AI" def innovate(self): return "Future"

About Me

Currently pursuing a Master's in Computer Science with a research focus on machine learning for medical image analysis at Manipal Institute of Technology. I'm passionate about pushing the boundaries of AI through quantum computing integration.

My expertise spans from high-performance computing using CUDA to developing hybrid quantum-classical ML models. I believe in the transformative power of AI to solve complex real-world problems, particularly in healthcare.

9.1

M.Tech GPA

9.33

B.E. CGPA

92%

CNN Accuracy

150+

Students Trained

Technical Expertise

Languages

Python Java C JavaScript

AI/ML

TensorFlow OpenCV Quantum ML CNN

Frameworks

Django Flask CUDA

Tools & DB

MySQL VS Code PyCharm

Research & Innovation

Quantum Machine Learning

Developing hybrid quantum-classical ML models for medical image classification, exploring the intersection of quantum computing and artificial intelligence.

Ongoing

High-Performance Computing

Parallelized NSDP algorithm using CUDA for accelerated computation, achieving significant performance improvements in complex calculations.

Completed

Featured Projects

Phobia Analysis

AI-powered phobia analysis platform using Gemini API for intelligent assessment and personalized recommendations built with Flask.

Flask Gemini API AI

FloraFend

Plant leaf disease detection system using deep learning to identify and classify plant diseases, helping farmers protect their crops.

Deep Learning Image Classification Agriculture

CalmDown

Mental Health Support Platform with AI chatbot, assessments, mood tracking, and personalized recommendations built with Flask.

Flask AI Python

Network Anomaly Detector

Real-time AI-powered dashboard for detecting network anomalies using latency, packet loss, and bandwidth metrics.

AI Real-time Dashboard

CNN Image Classifier

Built CNN-based model achieving 92% accuracy using TensorFlow and OpenCV, processing 10,000+ images with optimized training.

TensorFlow CNN OpenCV

Experience & Leadership

AI/ML Intern

Alar Innovations

Built CNN-based image classification model achieving 92% accuracy. Processed 10,000+ images with data augmentation, reducing training time by 30%.

Software Development Intern

Kodnest

Implemented full-stack features using Java, SQL, and web development technologies.

Web Development Intern

Quantum Learning

Designed and developed responsive web applications using HTML5, CSS3, and JavaScript.

Secretary, CodeTroopers Club

SMVITM

Led technical initiatives, conducted workshops for 150+ students, and delivered AI training to 100+ government school students through IEEE Eureka.

Let's Connect

Get in Touch

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.

Hiriadka, Udupi-576113