Help & Supportcareers@gravityer.com
React Frontend Engineer with less than a year in Machine Learning & UI/UX Design
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Computer Science and Engineering student with hands-on experience in developing practical applications using Machine Learning, CNN, and React. Proven ability to create user-friendly interfaces, manage data, and integrate APIs. Eager to apply technical skills and problem-solving abilities to contribute to innovative projects in a dynamic environment.
College Of Engineering Thalassery
Bachelor of Engineering · Computer Science And Engineering
August 1, 2022 – June 30, 2025
Govt. Residential Women's Polytechnic College
Diploma · Computer Science And Engineering
August 1, 2020 – June 30, 2022
Automatic Skin Disease Detection
December 1, 2025 – June 1, 2026
Developed an Android application for detecting various types of skin diseases using the VGG16 pretrained Convolutional Neural Network (CNN) model. The deep learning model was implemented and trained using Python. The Android application allows users to upload skin images and receive instant predictions through a user-friendly interface.
Lab Stock Management System
December 1, 2025 – June 1, 2026
Developed a web-based Laboratory Stock Management System using React and Python to automate inventory tracking, user roles, and real-time notifications. Lab efficiency and compliance through features like expiration tracking, audit logs, and resource utilization analytics.
Website For Censa
December 1, 2025 – June 1, 2026
Website for college department using HTML, CSS. It contains all the information about the department. The website includes department programs, Syllabus for study purposes, question papers and other details.
Intelligent System Workshop
IIT Palakkad
June 1, 2026 – Present
Certificate of Completion in Artificial Intelligence with Python
Techmaghi
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in both AI/Machine Learning and web development. The 'Lab Stock Management System' project aligns well with the target role of a React Frontend Engineer, showing practical application of relevant technologies. The academic background in Computer Science and Engineering provides a solid foundation. However, the lack of professional experience or involvement in open-source projects limits the assessment of cultural fit in a dynamic team setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured academic projects. The 'Lab Stock Management System' project suggests an understanding of system requirements and feature implementation. However, without direct work experience or psychometric test results, it is difficult to assess soft skills like teamwork, problem-solving under pressure, or adaptability in a professional operational environment.