Help & Supportcareers@gravityer.com
AI & CV Engineer | Sign Detection • Disease Prediction • Farm Assist | YOLO, MediaPipe, Python | Open to work.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
BioFlow-Scanner---AI-Holographic-System
May 28, 2026 – Present
BioFlow-Scanner---AI-Holographic-System — repository
View Projectfisibel
May 13, 2026 – Present
Privacy-safe synthetic African healthcare datasets powered by Gemma 4 and WHO-grounded generation.
View Projectafrigen-solo
April 21, 2026 – Present
AI-powered synthetic data infrastructure for African ML engineers. Generate high-fidelity African datasets grounded in WHO + World Bank statistics, governed by OpenMetadata with full lineage, schema, catalog, and data quality validation.
View Projectasl-sign-detection-mediapipe-rf
March 19, 2026 – Present
Real-time ASL sign language detector using MediaPipe hand landmarks + XGBoost — 98.43% accuracy, skin-tone agnostic, no CNN
View ProjectAura
March 15, 2026 – Present
My cousin couldn't navigate the internet alone. She called me every time. I built Aura so nobody has to make that call again. A Chrome extension powered by Gemma 4 that lives on every webpage — summarizing, explaining, drafting and understanding. AI that meets you where you are, not where it's convenient.
View ProjectNairaTrack
March 8, 2026 – Present
NairaTrack helps Nigerian students track daily expenses, understand spending patterns, and make smarter money decisions all in one clean dashboard.
View Projectdisease-prediction-ml
March 6, 2026 – Present
Machine learning system that predicts diseases from patient symptoms using Decision Tree and Random Forest classifiers.
View Projecthouse-price-prediction
March 4, 2026 – Present
House Price Detector — Predict house prices easily with a ready-to-use machine learning model in Python.
View Projectcow-detection-dataset
December 16, 2025 – Present
🐄This repository contains an automatically annotated cow detection dataset for computer vision. Images were labeled using a pretrained YOLOv8 model to generate bounding boxes for multiple cows per image. The dataset is suitable for object detection tasks, academic projects, and livestock monitoring applications.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal initiatives and innovation, often addressing social or personal challenges. This indicates a proactive and self-driven individual. The diversity of projects, from AI/ML to web development, suggests adaptability and a broad interest in technology. However, the candidate's experience level is 0, and all projects are personal, which might indicate a need for mentorship and experience in a collaborative, structured team environment. The target role is 'Data Scientist', and while many projects align, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit within a corporate data science team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and initiative, particularly in addressing real-world issues (e.g., Aura for internet navigation, NairaTrack for expense tracking). However, without formal assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be objectively evaluated.