🎓 Final Year IT Student & AI Enthusiast

Hey! I'm Rugved Chandekar
Building Intelligent Solutions with AI

I'm a passionate student at GECCS specializing in AI/ML and data science. From developing deep learning models for medical diagnosis to building intelligent web applications, I love transforming complex problems into elegant solutions. Published researcher, hackathon winner, and forever learner! 🚀

Explore My Work Let's Connect!

10+

AI/ML Projects

04

Years Coding

01

IEEE Publication

01

Hackathon Win

Get to Know Me

About Me

I'm a final year Information Technology student with a deep passion for Artificial Intelligence and Machine Learning. My journey in tech started with curiosity about how machines can learn and has evolved into building real-world AI solutions that make a difference.

What drives me? The intersection of healthcare and AI. My IEEE research paper on pneumonia detection using multimodal deep learning achieved 97.18% accuracy.

Beyond academics, I won my college hackathon with ResuGenie - an AI-powered resume parser that helps students connect with alumni for referral opportunities. I love building practical tools that solve real problems!

When I'm not coding, you'll find me exploring new ML architectures, contributing to open-source projects, or experimenting with LLMs and RAG systems. Currently diving deep into computer vision and explainable AI!

Deep Learning

Building neural networks for real-world impact

Healthcare AI

Using AI to improve medical diagnosis

LLMs & RAG

Exploring generative AI and retrieval systems

Data Science

Turning data into actionable insights

My Journey

Education

Where I've been learning and growing

2022 - 2026 (Expected)

Govt. College of Engineering, Chhatrapati Sambhajinagar

B.E. Information Technology

CGPA: 7.27 • Specializing in AI/ML, Data Science, and Deep Learning. Published IEEE research paper on multimodal pneumonia detection. Active member of coding club and technical societies.

2020 - 2022

Mallick Junior College

HSC (Science Stream)

Score: 87.17% • Strong foundation in Mathematics, Physics, and Chemistry. Developed early interest in programming and problem-solving.

2010 - 2020

Ryan International School

ICSE (10th Grade)

Score: 81.20% • Where my coding journey began! Started with Coding basics and fell in love with creating solutions through code.

Things I've Built

Featured Projects

From research publications to hackathon winners - here's what I've been working on!

🏆 Pneumonia Detection AI - IEEE Research

Published research paper! Built a multimodal deep learning system combining X-ray imaging (DenseNet121) and respiratory sound analysis (RNN) to detect pneumonia with 97.18% accuracy using transfer learning and data augmentation.

PyTorch DenseNet121 Research Healthcare AI

🥇 ResuGenie - Hackathon Winner

AI-powered resume parsing system using LLMs to extract skills, education, and experience. Integrated LinkedIn scraping to connect alumni and referrals, reducing manual CV screening time by nearly 80%.

LLM Python Streamlit Web Scraping

RAG-Based Question Answering System

Retrieval-Augmented Generation system built with FastAPI, FAISS, and LLMs. Documents are chunked, embedded using sentence transformers, and retrieved via semantic search to generate grounded, context-aware answers.

RAG FAISS LLM FastAPI

Official Website of RSM

Full-stack web application for managing temple bookings, donations, and visitor records. Implemented backend APIs, payment tracking, email notifications, and an admin dashboard.

Flask Python MySQL

CodeSync – Collaborative Code Editor

Real-time collaborative code editor built using Flask and Socket.IO. Supports multi-user rooms, live code synchronization, file management, and multi-language code execution with integrated LLM-based assistance.

Flask Socket.IO LLM Collaborative Systems

Smart House Price Predictor

End-to-end ML web application for predicting house prices using XGBoost. Compared multiple regression models and achieved 87.6% R² score. Integrated SHAP for explainable predictions via interactive Flask dashboards.

XGBoost Flask SHAP Explainable AI

YOLOv3 Object Detection App

Real-time object detection application using YOLOv3 and Streamlit. Supports image uploads and live webcam detection with confidence scores and efficient non-maximum suppression.

YOLOv3 Computer Vision OpenCV Streamlit

AI Image Caption Generator

Lightweight Streamlit application that generates short, creative captions for uploaded images using an LLM. Built to explore multimodal reasoning and image-to-text generation.

Python Streamlit LLM Computer Vision

J.A.R.V.I.S – AI Assistant

First stepping stone into Python and LLMs. Built a web-based AI assistant with Streamlit featuring chat UI, context-aware responses, memory handling, and basic command execution.

Python Streamlit LLM AI Assistant

Achievements & Learning

Certifications & Accomplishments

Continuous learning through industry-recognized programs

Tata GenAI Job Simulation

Tata Group

Built data visualization dashboards and AI-driven insights for retail business scenarios. Worked with PowerBI and generative AI tools.

PowerBI GenAI Analytics

Hackathon Winner - ResuGenie

GECCS College Hackathon

First place for AI-powered resume parser with LinkedIn integration. Solved real-world recruitment and alumni networking challenges.

1st Place NLP AI

IEEE Research Publication

IEEE Conference

Published paper on multimodal pneumonia detection achieving 97.18% accuracy. Contributed to healthcare AI research community.

Research Deep Learning Healthcare

Tech Arsenal

Skills & Technologies

Tools and technologies I work with daily

Programming Languages

Python (Advanced)
C++ (Intermediate)
Java (Basics)
SQL (Proficient)

AI & Machine Learning

PyTorch & TensorFlow
Keras & Scikit-Learn
LLMs & RAG Systems
Computer Vision (CNNs)
NLP & Transformers

Data Science & Analytics

NumPy & Pandas
Matplotlib & Seaborn
Data Visualization
Statistical Analysis
Feature Engineering

Web Frameworks & APIs

Flask & FastAPI
Streamlit
REST APIs
n8n Automation

Databases & Tools

MySQL
Vector Databases (FAISS)
Git & GitHub
Docker Basics

Libraries & Frameworks

OpenCV & PIL
Selenium & BeautifulSoup
NLTK & Spacy
LangChain

Specialized Skills

Transfer Learning
Model Deployment
Data Augmentation
Hyperparameter Tuning
Explainable AI (SHAP)

Currently Learning

MLOps & Model Monitoring
Advanced RAG Techniques
Diffusion Models
Cloud Deployment (AWS)

Hey! I'm Rugved ChandekarBuilding Intelligent Solutions with AI

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