I'm Dhwani Vyas, I'm a Full-Stack and AI/ML developer. I'ts been above 3 years since I wrote my first "Hello World". It's fun to be a programmer because it's not the same all the time. I love learning and getting adapted to new tech stack and for me problem solving is something I was born to do. Other than that in my free time u will find me reading books(my fav one being "Shoe dog" by Phil Knight, really a great book), cooking(trying and building some new flavour) and walking in nature(solus with music and trees around is just as perfect as it sounds). And yes, I am proud and love my choice of being a|
I'm open to Job opportunities where I can contribute, learn and grow. If you have a good opportunity that matches my skills and experience then don't hesitate to contact me.
Projects I/We worked on.

Developed a full-stack job portal with AI-based resume analysis to match candidates with relevant job roles. Implemented NLP-based resume scoring to evaluate resumes based on skills, keywords, and job descriptions, along with ML-driven classification and job recommendations. Built secure Django-based authentication with role-based access for recruiters and applicants, and features like job posting, application tracking, and resume parsing to streamline the hiring process.

Built an AI-driven construction planning platform that retrieves optimal building layouts from a dataset of 571+ plans using ResNet18 embeddings. Implemented JWT-based RBAC authentication, a FastAPI backend with PostgreSQL, and an interactive Next.js frontend for visualizing and generating layout recommendations.

Developed an end-to-end ML-powered stock prediction platform that generates directional trading signals using historical and live market data. The system leverages feature engineering and an XGBoost-based classification model, exposed via a production-ready FastAPI backend and consumed through a modern web interface.

Built an end-to-end AI-powered plant identification platform that classifies plant species from uploaded images using a deep learning model and provides structured plant care recommendations through a production-ready API.

PaperSimplify is a lightweight web application that helps students and researchers understand academic papers faster by converting dense research PDFs into clear, section-wise simplified explanations using AI.

Project with which won 1st runner up at Breach25 hackathon. Developed an AI-powered fraud detection system that analyzes user behavior to identify and prevent fraudulent activities in real-time, enhancing security for online transactions. (Website is currently down due to hosting issues.)
Professional certificates and courses I have completed.
Please contact me directly at dhwani.vyas05@gmail.com or through this form.