Help & Supportcareers@gravityer.com
Data Science Enthusiast | Computer Science Engineering - Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I-Care-AI-Powered-Automated-Eye-Screening-System
March 26, 2026 – Present
I-Care is a Flask-based eye health screening web application with multiple AI-assisted modules: Eye disease image classification, Color-vision testing and simulation, Eye fatigue risk scoring from image + questionnaire - AI chat recommendations with clinic lookup
View ProjectDATAWEB_Vector_X
February 27, 2026 – Present
A secure Conversational Data Intelligence Platform that converts natural language queries into explainable, dataset-grounded analytics using LLM-generated pandas code.
View ProjectEye-Medical-RAG-Chatbot
February 1, 2026 – Present
A professional, high-performance RAG (Retrieval-Augmented Generation) chatbot specialized in eye health.
View ProjectAI-Powered-Document-Intelligence-System-RAG
February 1, 2026 – Present
A professional MVP for intelligent document analysis using Retrieval-Augmented Generation (RAG).
View ProjectEye-Exercise-Training
January 24, 2026 – Present
Eye-Exercise-Training — GitHub repository
View ProjectEye-fatigue-Diagnosis
January 18, 2026 – Present
Eye-fatigue-Diagnosis — GitHub repository
View ProjectContext-Aware-Audio-Translation
December 12, 2025 – December 13, 2025
Context-Aware-Audio-Translation — GitHub repository
View ProjectEYE-DISEASE-CLASSIFIER
September 27, 2025 – September 27, 2025
EYE-DISEASE-CLASSIFIER — GitHub repository
View ProjectAgroSmart-ML-Driven-Crop-Recommender
December 17, 2024 – Present
An AI-powered solution offering crop recommendations, yield predictions, and fertilizer suggestions using ML models. Integrates real-time weather data via OpenWeatherMap API and multilingual support with Google Translate. Visualizes insights through graphs to optimize farming practices.
View ProjectCultural Fit Analysis
The candidate's projects show a strong interest in AI/ML and its application across various domains, particularly in health and agriculture. This aligns well with roles requiring innovation and practical application of AI. However, the projects are all personal and lack diversity in team collaboration or enterprise-level challenges, which might indicate a need for development in a collaborative, professional environment. The target role is 'Data Scientist', and the projects are highly relevant to this field, demonstrating a clear passion and alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and hands-on approach to learning and application development. The consistent theme of AI-powered solutions for practical problems suggests a problem-solving mindset. However, without psychometric or English test scores, it's difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration directly. The candidate's experience level is listed as 0, which might indicate a lack of professional operational experience.