Help & Supportcareers@gravityer.com
Building AI powered full stack applications, analytics platforms, and scalable backend systems using Python, React.js, FastAPI, and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
enterprise-supply-chain-logistics-analysis
May 18, 2026 – Present
Production grade Supply Chain & Logistics Optimization platform handling 100,000+ records. Built with Star Schema, Advanced DAX, and AI Root Cause Analytics in Power BI.
View ProjectNeuro_Vibe_Net
May 10, 2026 – Present
AI-powered mental health screening platform using behavioral analytics, voice analysis, facial emotion recognition, and ensemble ML models.
View Projecttalentscope-ai
April 27, 2026 – Present
AI-powered interview analytics platform that evaluates candidates using computer vision, NLP, and speech analysis to generate data driven performance insights.
View Projectvehicle-damage-ai-system
April 16, 2026 – Present
AI-powered system for vehicle damage detection and repair cost estimation using YOLOv8 and Flask
View Projectreal-time-asl-sign-language-detection
April 14, 2026 – Present
Real time ASL sign language detection using computer vision and deep learning (React + FastAPI + TensorFlow)
View Projectcrimeintel-ai
April 14, 2026 – Present
Real time crime intelligence dashboard that aggregates data from news, Reddit, Twitter, and social sources with analytics, geospatial visualization, and live alerts (React, Node.js, MongoDB, Socket.IO)
View Projectemployee-management-system-java-servlet
August 12, 2025 – Present
Employee Management System web application using Java Servlets, JSP, and MySQL database. Includes features like employee registration, login, view, edit, and delete records. Deployable on Apache Tomcat.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in AI/ML applications across diverse domains, including crime intelligence, supply chain, accessibility, and mental health. This breadth of interest suggests adaptability and a willingness to tackle varied challenges. However, the projects are predominantly personal, and there is no information regarding collaborative work environments or team dynamics, which are crucial for assessing cultural fit in a professional setting. The target role is Data Scientist, and the projects align well with the technical requirements of such a role, indicating a strong technical fit. The lack of professional experience or team-based projects limits the assessment of cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The provided data is insufficient to assess soft skills or operational fit. The candidate's project descriptions indicate a proactive and self-driven approach to learning and applying new technologies.