Help & Supportcareers@gravityer.com
AI Engineer with less than a year in IoT and AI-driven applications development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science student specializing in Internet of Things and software development, with hands-on experience building AI-driven and data-driven applications. Passionate about developing scalable software solutions and applying AI and data technologies to solve real-world problems.
Noida Institute of Engineering and Technology
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Doordarshi - Offline AI-Based Visual Assistant
June 1, 2022 – June 30, 2026
Developed a fully offline AI-based assistive system delivering real-time scene descriptions in under 8 seconds using lightweight models. Integrated Tesseract OCR with image preprocessing techniques, achieving approximately 80% text recognition accuracy. Designed a multi-mode hardware interface with optimized processing and power efficiency for portability.
View ProjectAI Interview Ace
June 1, 2022 – June 30, 2026
Developed an AI-powered mock interview platform that simulates HR and technical interviews. Integrated resume analysis and speech-to-text functionality for interactive interview practice. Implemented performance reports and an HR dashboard to evaluate responses and track progress.
Rainfall Analysis & Prediction
June 1, 2022 – June 30, 2026
Built regression and classification models to predict rainfall occurrence using weather parameters. Performed data cleaning and exploratory data analysis to enhance prediction reliability. Built and evaluated Linear and Logistic Regression models for quantitative and binary rainfall prediction.
View ProjectCultural Fit Analysis
The candidate's academic projects show a strong interest in applying AI to solve practical problems, which aligns well with an innovative and impact-driven culture. The diversity of projects, from edge AI to web-based platforms, indicates adaptability and a broad technical curiosity. However, as an entry-level candidate with only academic experience, the depth of cultural fit cannot be fully assessed without further interaction.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work in teams and lead small projects, suggesting potential for collaboration and initiative. The focus on practical, real-world applications (e.g., offline visual assistant, rainfall prediction) demonstrates a problem-solving mindset. However, without specific psychometric or English test results, a comprehensive assessment of soft skills and operational fit is limited.