Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Artificial Intelligence & 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
August 1, 2023 – June 30, 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 1, 2025 – June 1, 2026
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.
NPTEL – Business Intelligence & Analytics (Elite)
NPTEL
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project, internships, and areas of interest (Computer Vision, Machine Learning, Sports Analyst, Robotics) show a strong alignment with an AI-focused role. The diversity of applications (gym management, fake news detection, movie recommendations, RAG chatbot) indicates a broad interest in AI domains. The 'Ignite'25 Idea Pitching Competition runner-up achievement suggests an innovative mindset and drive, which are positive indicators for cultural fit in a dynamic tech environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting problem-solving skills. Participation in hackathons and hosting a tech fest event points to initiative and potential for collaboration. The detailed project description also shows an ability to articulate technical work clearly. However, without direct behavioral assessment, further evaluation of teamwork, communication, and adaptability is needed.