Data science, Machine Learning, Python, Deep Learning, AI, openCV, NLP, Docker, Devops, Django, Flask, Linux, GCP, AWS.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Opencv-pupil-detection
September 25, 2019 – September 25, 2019
Pupil Detection from video file using opencv and haarcascade_eye.xml with detection of eye on close or open
View ProjectKeras-CNN-multiclass-image-classificication
September 25, 2019 – September 25, 2019
multiclass image classification using keras-CNN, SVM, and Random forest classification
View ProjectDeepLearning-with-keras
August 14, 2019 – November 22, 2022
deeplearning turorial with keras in python
View ProjectOnline-Examination-System
July 12, 2018 – July 12, 2018
online examination project in php.
View Project-gender-age-prediction-webcam-video-
June 25, 2018 – June 25, 2018
Easy Real time gender age prediction from webcam video with Keras
View ProjectImageAI-Video-Object-Detection-and-Tracking
June 25, 2018 – June 25, 2018
ImageAI-Video-Object-Detection-and-Tracking — GitHub repository
View ProjectImageAI-image-Prediction
June 25, 2018 – June 25, 2018
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities.
View ProjectCheetsheet
June 23, 2018 – June 23, 2018
AI cheetsheet, ML cheetsheet, docker, linux, deeplearning cheetsheet, python3 module cheetsheet such as pandas, scikit learn, numpy,..etc, apache spark....etc
View Projectface-detection-and-Recognition
June 23, 2018 – June 23, 2018
face detection and recognition using opencv and Haarscade such as face detect, face with eye detect, face with smile detect and face ,eye, smile detect.
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and focused on specific areas within AI/ML (Computer Vision). While this shows initiative, the lack of diverse project types (e.g., team projects, web development beyond basic PHP, data engineering) and the absence of professional experience or education details make it difficult to assess broader cultural fit or adaptability to varied team environments. The early PHP projects suggest a broader interest but are not recent or detailed.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.