Projects

LoFTR stands for Detector-Free Local Feature Matching with Transformers. Which is used for pixel-wise dense matches.

• Competencies used: PyTorch, Image Processing, OpenCV. 

First, the model will detect the area where the License plate is present and then it will print the text present in the License plate Image using EasyOCR library. 

• Competencies used: Deep Learning, EasyOCR, Numpy.

I used 6 Transfer learning models to do this task. with comparison in between.

• Competencies used: TensorFlow, Neural Network, Image Processing. 

To design and analyse an automobile component using SolidWorks and Ansys software. Afterwards, a Deep learning model is used for image-based damage identification. 

• Competencies used: Deep Learning, TensorFlow, Image Processing. 

Developed a sentiment analysis model using NLTK library, & to create an API platform using Flask framework.

• Competencies used: NLP, APIs(Flask), Python.