Support Vector Machine Model for Medical Assistance
Summary
Developed a machine learning model using Support Vector Machines to assist users in finding relevant medicines based on disease symptoms input, using extensive medicinal datasets.
About
Highly motivated Computer Science student with practical experience in full-stack development, machine learning, and computer vision. Proven ability to build efficient, user-centered mobile and web applications, and develop robust ML models. Eager to leverage strong technical skills and innovative problem-solving to contribute to cutting-edge software solutions.
Education
University of Delhi, SGTB Khalsa College
→
Bachelor of Science
Computer Science
DAV Centenary Public School
→
High School Diploma
Secondary Education
Grade: 12th Grade: 86%, 10th Grade: 85%
Awards
Innovative Idea Award Winner
Awarded By
University
Recognized for an innovative concept in Augmented Reality (AR) technology, demonstrating creative problem-solving and potential for practical application. Awarded a ₹10,000 prize for this achievement.
Skills
Programming Languages
Python, C, C++, C#, Swift, Dart (Flutter), JavaScript, HTML, CSS.
Frameworks & Tools
Flutter, iOS Development, Web Development, HTML/CSS/JavaScript, Firebase, Sapling API.
Machine Learning Techniques
Support Vector Machine, Decision Tree Classification, Data Analysis, Model Training.
Specialized Skills
Computer Vision, Augmented Reality, Mobile Application Development, Web Application Development, User-Centered Design, Real-time Communication.
Problem Solving & Innovation
Problem Solving, Innovation, System Design, User Experience (UX).
Interests
Painting
Art, Creative Design, Technology & Design Integration.
Projects
AI-Generated Text Detection Tool
Summary
Developed a web-based tool to identify AI-generated text using HTML, CSS, JavaScript, and the Sapling API. This project is designed to help users verify whether a piece of text was likely generated by AI, providing a confidence score to indicate the result.
Multi-Learning Mobile App (Flutter)
Summary
Developed a Flutter-based mobile app that consolidates six different educational applications into one platform for easy learning and usability.
Real-Time Online Chat Application
Summary
Built an online chat application using HTML, CSS, JavaScript, and Firebase to enable real-time communication among users. The project was designed for a lightweight and accessible instant messaging experience, focusing on speed and simplicity all in Real-Time.