About Me
Technical Skills
Proficient in JavaScript, PHP, and C++. Experienced with React, Node.js, and web development. Skilled in UI/UX design and building user-friendly digital solutions.
Education
Currently pursuing a B.S. in Computer Science at Tech University. Relevant coursework: Data Structures, Algorithms & Web Development.
CGPA: 7.89
Interests & Goals
Passionate about web development and UI/UX design. Interested in building user-friendly digital solutions and exploring entrepreneurship. Aspiring to contribute to open-source projects and help others grow in tech.
In my free time, I enjoy participating in hackathons and exploring new hiking trails.
Education
B.Tech in Computer Science
Lovely Professional University
- CGPA: 7.89
- Relevant coursework: Data Structures, Algorithms, Machine Learning
- COO of the E-Cell
Intermediate
Gurukul Vidhyapeeth
- Valedictorian
- President of the Cricket Club
- Member of the Science Club
Experience
Office Assistant
LPU
- Assisted in various office tasks
- Managed office supplies and inventory
- Coordinated with other departments
Event Manager
E-cell LPU
- Organized and managed various events and workshops
- Entrepreneurship and leadership development
Management Team Member
UNYC LPU
- Led a team of few students in developing a campus event management
- Organized and managed various events and workshops
- Collaborated with other teams to ensure smooth functioning of the event
Featured Projects
Showcasing my journey through code, innovation, and problem-solving
HealthCareConnect
A web-based doctor appointment booking platform developed using HTML, CSS, JavaScript (frontend), and PHP (backend). It includes features like user authentication, doctor listings, appointment scheduling, and a responsive UI/UX for a seamless experience. Additionally, it offers a HealthCare Blog and Health Tips section, providing valuable medical insights. The PHP backend manages form submissions, session handling, and MySQL database interactions, ensuring secure and efficient performance.
Potato Disease Classification
Developed a Potato Disease Classifier using Python, Streamlit, and CNN for a hackathon. The model identifies plant diseases from leaf images, leveraging deep learning for accurate classification. Built an intuitive Streamlit UI for user-friendly interaction. The project enhances agriculture by enabling early disease detection, aiding farmers in preventive measures.
Skills & Expertise
Combining strong leadership and event management experience with technical proficiency