My work

This project is an AI-powered HR management web application built during Techxcelerate at BITS Pilani. It automates the hiring process by allowing HRs to post jobs, while candidates can register, log in, and apply through a dedicated portal. Resumes are automatically evaluated using a DeepSeek language model, which helps categorize applicants based on their skills. Personalized assessments are generated to test each candidate’s knowledge, making the entire recruitment pipeline—from application to evaluation—fully automated and efficient.

Introducing ManageIt, a powerful task management app built with Next.js, Prisma, and MongoDB for seamless performance and scalability. Designed to streamline project organization, ManageIt helps you effortlessly manage tasks, set deadlines, and prioritize work with ease. Its modern, user-friendly interface ensures an intuitive experience for individuals and teams alike. Whether you're tracking daily to-dos or coordinating complex projects, ManageIt keeps everything on track. Stay productive, stay organized — all with ManageIt.

Developed a user-friendly web application using Django to detect skin cancer and pneumonia through image uploads. The platform allows users to upload images, which are then processed using machine learning models. For both skin cancer and pneumonia detection, we utilized pre-trained models fine-tuned with custom datasets. The models leverage the VGG-16 architecture, providing accurate image classification and medical diagnosis. This project integrates machine learning with web development to create an efficient, accessible tool for health diagnostics.

Developed an Automatic Number Plate Recognition (ANPR) system utilizing YOLOv8 pre-trained models, fine-tuned for number plate detection. Integrated Optical Character Recognition (OCR) with Tesseract to extract and display vehicle registration data. Leveraged OpenCV for real-time video manipulation and processing, enhancing the system's accuracy and performance. This project combines advanced computer vision techniques for efficient, automated vehicle identification.

Rumi is an intuitive student dashboard designed to enhance the learning experience by integrating a smart monitoring system. The platform helps students stay on track by providing personalized insights, tracking progress, and offering recommendations to improve their study habits. With a focus on simplicity and efficiency, Rumi empowers students to take control of their academic journey, making studying more structured and goal-oriented.

Is is an election application designed for desktop and laptop computers. Built on the flet library in the Python.