Help & Supportcareers@gravityer.com
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 Engineer with less than a year in Python, Machine Learning & Data Analysis
As a passionate AI enthusiast and Computer Science Engineering student, I am actively developing scalable and intelligent systems for healthcare and automation. With practical experience in designing and implementing computer vision models for color detection, real-time emotion recognition, and AI-powered video analysis, I possess a strong foundation in Python, machine learning frameworks like TensorFlow, and data visualization tools like Power BI. I am keen on applying my skills in AI, deep learning, and data analytics to innovative projects.
Rajalakshmi Institute of Technology
B.E. · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Velankanni Matriculation Higher Secondary School
Class 12 (HSC)
June 1, 2020 – May 31, 2022
Innovate Company
Project Intern
March 1, 2025 – April 1, 2025
Chennai, Tamil Nadu, India
AI-Powered Cricket Highlights Generator
June 1, 2026 – Present
Created a text moderation system to automatically detect and flag offensive or inappropriate language using NLP. Developed an AI-powered system to automatically detect fours, sixes, and wickets from cricket match videos. Implemented OCR and Computer Vision techniques to extract scoreboard information and identify key match events.
Fresher Data Analysis 2024–2028
June 1, 2026 – Present
Developed an interactive Power BI dashboard to analyze academic and demographic data of students from the 2024-2028 batch. Created dynamic visualizations, KPI reports, and dashboards for attendance, marks, and academic progress tracking. Performed data cleaning, transformation, and modeling to uncover trends in student performance and engagement. Enabled data-driven decision-making through comprehensive analytics and interactive business intelligence reporting.
Emotion Recognition System
June 1, 2026 – Present
Developed a real-time emotion recognition model using CNN and MediaPipe for facial landmark detection. Classified emotions such as happiness, sadness, anger, and surprise with 91% accuracy using FER-2013 and custom datasets. Integrated Firebase backend for storing emotion data and analytics to track user engagement. Achieved smooth real-time processing using OpenCV for live video stream analysis.
Intro to Machine Learning
Kaggle
June 1, 2026 – Present
Intro to Power BI
Microsoft
June 1, 2026 – Present
Data Modelling
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including applications in sports analytics, education, and emotion recognition, suggests a broad interest in applying AI across various domains. Their stated passion for developing scalable and intelligent systems aligns with an innovative and impact-driven culture. The experience level (0) indicates a strong learning curve and potential for growth within a supportive team environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and application through personal projects and certifications. Their involvement in hackathons and workshops indicates a collaborative spirit and eagerness to apply AI in real-world scenarios. The focus on scalable and intelligent systems for healthcare and automation aligns well with operational needs for impactful AI solutions.