Welcome to My VibeLab!

Yashraj Tarte

Associate Software Developer

@ PricewaterhouseCoopers AC India

I’m Grinding On

Guidewire | Web Dev | ML

About Me

Hey There!

Hi there 👋! I'm Yashraj Tarte, a passionate software developer and innovator currently working as an Associate Software Developer at PWC in Bengaluru, India. With expertise in technologies like Guidewire, Java, Web Dev, Android, Flutter and SQL, I'm driven to craft impactful, data-driven solutions. My journey includes exciting stints in Salesforce development, web application design, and machine learning.

When I'm not coding, you'll find me exploring emerging tech trends, brainstorming innovative ideas, or enjoying travel and adventures. Welcome to my portfolio!

My Work

Projects

CureComm

A Flutter-based app connecting users with similar health conditions via disease-specific chat rooms.
Integrated an AI-powered medical chatbot leveraging ChatGPT API for personalized guidance.
Impact: Fostered a supportive community for users to manage their health journeys.

Animal Classification

A mobile app using TensorFlow Lite for on-device image classification.
Real-time animal image classification for wildlife education and monitoring.
Impact: Democratized access to image classification tools for conservation and learning.

Automatic Number Plate Recognition

Built using MATLAB to detect and recognize vehicle number plates in real time.
Applications: Traffic monitoring, toll collection, and parking management.
Impact: Improved accuracy and efficiency in number plate recognition systems.

Multi-PDF RAG Chatbot

A comprehensive tutorial on building a chatbot to process and interact with PDFs.
Applications: Utilizes Langchain, Streamlit, and FAISS to enhance document analysis.
Impact: Simplified knowledge extraction, boosting research and productivity.

Publications

Journal of Machine Engineering, Vol. 24

An Artificial Intelligence-Based Autonomous Road Lane Detection and Navigation System for Vehicles
Online Publication Date: 01-12-2024
Impact: Contributed to autonomous vehicle research by proposing a novel AI-based approach for lane detection with 95% accuracy. Research has been cited in multiple autonomous driving studies.

Diagnostics, MDPI (Q1 SCIE journal) - Impact Factor: 3.992

Explainable and Interpretable Model for the Early Detection of Brain Stroke Using Optimized Boosting Algorithms
Online Publication Date: 09-11-2024
Impact: Advanced medical diagnostics by developing an interpretable AI model achieving 92% accuracy in early stroke detection. Published in a top-tier medical journal, potentially benefiting early stroke intervention and patient outcomes.

ASIANCON, IEEE Bombay Section

Predicting Drinking Behavior Based on Physiological Signals using Ensemble Boosting Algorithms
Online Publication Date: 25-08-2024
Impact: Helped developers and system administrators understand secure privilege elevation.

Contact Me

For career updates and networking, connect with me on LinkedIn.

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GitHub

Check out my repositories, including innovative projects like CureComm and the Image Classification App, on GitHub.

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Google Scholar

My publications and research work on Google Scholar.

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Syntax Station

I post all my work here. Syntax Station, where I simplify complex tech topics with a casual tone. I cover everything from Java programming to machine learning and cloud services. Check out my latest articles for insightful reads.

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That's All

Thank You for Stopping By!

I truly hope this site offered you something meaningful, be it inspiration, insight, or simply a pleasant moment. Your time here means the world to me. Stay curious, stay inspired, and remember, the journey never truly ends. Come back anytime!