Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Data Analysis & Computer Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI & Data Science undergraduate with hands-on experience in computer vision, deep learning, and intelligent system design. Skilled in Python, OpenCV, YOLOv8, and Flask, and deeply interested in applying AI, Machine Learning, and Deep Learning to sports analytics, robotics, and automotive systems. Seeking an AI/ML or Computer Vision internship to contribute to real-world AI-driven solutions while strengthening practical software development expertise.
St. Joseph's College of Engineering and Technology
Bachelor of Technology (B.Tech) · Artificial Intelligence and Data Science
September 1, 2023 – May 1, 2027
Techmaghi
Data Science & Machine Learning Internship
May 25, 2026 – June 1, 2026
India
IPSR Solutions Ltd
Artificial Intelligence Internship
May 1, 2026 – June 1, 2026
India
AI-Powered Smart Gym Management System
June 18, 2026 – Present
Developed a real-time smart gym platform for automated attendance tracking and workout posture analysis using computer vision. Implemented face recognition using FaceNet embeddings and cosine similarity for contactless member attendance management. Integrated YOLOv8-Pose and BoT-SORT tracking for multi-person detection, tracking, and identity persistence. Built exercise detection and repetition counting modules for push-ups and squats using joint-angle analysis and state-machine logic. Developed a hybrid posture evaluation system combining machine learning models and rule-based validation to classify exercise form as correct or incorrect. Generated real-time corrective feedback and performance scores to improve workout quality and reduce injury risk. Designed an SQLite database for storing attendance records, workout sessions, repetition statistics, and form analysis results. Impact Automated attendance management, reducing manual administrative effort. Enabled real-time exercise monitoring and posture correction. Improved gym member tracking and workout performance analysis.
Business Intelligence & Analytics (Elite)
NPTEL
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's profile indicates a strong passion for AI and Data Science, evidenced by their academic major, personal projects, and stated areas of interest. Their involvement in a tech fest and hackathons suggests a proactive and collaborative mindset, which is beneficial for cultural fit in a dynamic AI engineering team. The diversity of projects (computer vision, generative AI, recommendation systems) shows a broad interest in AI applications. However, the limited professional experience makes it difficult to fully assess cultural fit beyond enthusiasm and technical aptitude.
Soft Skills & Operational Fit
The candidate demonstrates initiative through independent project development and participation in hackathons. The 'AI-Powered Smart Gym Management System' project shows problem-solving skills and an ability to translate complex requirements into functional solutions. The candidate's interest in sports analytics, robotics, and automotive systems aligns with innovative and challenging environments. However, the short duration of internships (1 month and 7 days) limits the assessment of sustained operational fit and long-term collaboration skills.