passionate for real world project..
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Assessing your cultural and operational fit
Broken-Table-Image-Patching
August 13, 2020 – August 13, 2020
Join the broken horizontal & vertical lines in table's images.
View ProjectDamage-Detection
July 27, 2020 – August 13, 2020
Detection + Localization for Various Types of Damage
View ProjectCovid_19_Xray_image_pediction
June 2, 2020 – September 3, 2020
Identification of corona using X-ray image (CNN)
View ProjectImage-Classification
April 24, 2020 – April 24, 2020
Image-Classification — GitHub repository
View ProjectCareer-Consultancy-System
April 23, 2020 – April 23, 2020
Career-Consultancy-System — GitHub repository
View ProjectImage-Caption-Creator
April 23, 2020 – November 22, 2022
Image-Caption-Creator — GitHub repository
View Projectimage-caption
April 14, 2020 – November 22, 2022
Image Captioning is the process of generating textual description of an image. It uses both Natural Language Processing and Computer Vision to generate the captions. Early image description generation methods aggregate image information using static object class libraries in the image and modeled using statistical language models. The image description is obtained by predicting the most likely nouns, verbs, scenes, and prepositions that make up the sentence. The Caption Creator System propose using a deep learning to detect objects in an image, classifying each image region and processing it by a prepositional relationship function and finally applying a conditional random field prediction image tag to generate a natural language description using LSTM. This project is done using Python, Deep Learning, NLP and HTML, CSS, BootStrap as frontend and FLASK-Framework for the connectivity. The project Caption Creator System helps to analyses image and provide useful information or caption by
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science, particularly in image processing and NLP, which aligns with a Data Scientist role. However, the projects are all personal, lacking diversity in team collaboration or real-world application contexts. The breadth of skills is focused on specific areas of AI/ML, with less evidence of broader data science or engineering skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists personal projects without team context or professional experience.