Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Machine Learning & 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
A dedicated and motivated final-year Computer Science Engineering student with strong problem-solving skills. Proficient in programming languages, data structures, and algorithms, with hands-on experience in academic and personal projects. Eager to contribute to innovative technology solutions and grow in a dynamic professional environment.
Drs. Kiran & Pallavi Global University
B.tech · Computer Science Engineering
N/A – June 30, 2026
Zenith High School
Secondary school
N/A – May 31, 2020
Phoenix School
Higher Secondary School
N/A – May 31, 2022
Edunet Foundation
AI/ML Intern
March 1, 2026 – May 31, 2026
India
SAFE STEP
January 1, 2026 – June 1, 2026
Developed an intelligent assistive application that uses computer vision and deep learning to help visually impaired individuals understand their surroundings through real-time audio feedback. Implemented object detection using YOLOV8 and OpenCV to identify key objects such as people, vehicles, chairs, and tables. Determined spatial direction (left, right, center) within the frame. Integrated offline text-to-speech using pyttsx3 to generate concise audio alerts summarizing multiple detected objects in a single sentence.
ROBO-HELPER: SMART HOME ASSISTANCE
January 1, 2026 – June 1, 2026
Built an intelligent robot using Python, OpenCV, and TensorFlow for real-time object detection and tracking. Implemented computer vision algorithms for navigation and obstacle avoidance. Integrated machine learning models to enhance decision-making. Additionally, developed a mock-up app for the project.
IRL QUEST
January 1, 2026 – June 1, 2026
Developed a full-stack gamified task management web app that motivates users to complete real-life tasks through a game-like experience. Built an interactive and responsive frontend using React 19, Vite, TailwindCSS, DaisyUI, React Router, and Axios. Implemented backend APIs using Node.js and Express, with MongoDB and Mongoose for efficient data storage and management.
AI DESKTOP PET ASSISTANT
January 1, 2026 – June 1, 2026
Developed an AI-powered desktop assistant capable of interacting with users and answering questions displayed on the screen. Used Tesseract OCR to extract on-screen text, DistilBERT for natural language understanding, and FastAPI to handle backend communication. Built the interactive interface using Unity, enabling smooth and responsive user experiences.
RUNNER UP GTU CODE UNNATI INNOVATION MARATHON
Unknown
June 1, 2026 – Present
DATA ANALYTICS WITH PYTHON
NPTEL
January 1, 2026 – Present
THE JOY OF COMPUTING USING PYTHON
NPTEL
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in AI and practical application, which aligns well with an innovative and technology-driven culture. The diversity of projects, from assistive applications to smart home robots and gamified task management, shows a broad curiosity and willingness to explore different domains. However, as an entry-level candidate (experienceLevel: 0), their exposure to diverse team dynamics and corporate culture is limited, making a full assessment of cultural fit challenging without further interaction.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex, multi-faceted problems, indicating problem-solving skills and a project-oriented mindset. The academic nature of projects and limited professional experience mean operational fit in a fast-paced, senior-level environment is yet to be fully demonstrated. Collaboration skills are implied by project work but not explicitly detailed.