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B.Tech in Artificial Intelligence
from GH Raisoni College of Engineering and Management, Pune
Batch-2020-24
CGPA-8.29
B.Tech in Artificial Intelligence
from GH Raisoni College of Engineering and Management, Pune
Batch-2020-24
CGPA-8.29
The technological revolution is changing aspects of our lives, and the fabric of society itself. It's also changing the way we learn and what we learn.
Reasoning,Recommendation systems,Recognition software
Supervised learning, Unsupervised learning, Reinforcement learning.
Neural Networks,ReLU,GANs
Language translation, Sentiment analysis,Chatbots
such as social media platforms, news websites, forums, or review sites. Implemented various machine learning models like Naive Bayes, SVMs, logistic regression, decision trees, random forests, and neural networks. Applying techniques to analyze the sentiment expressed in the text data. This could involve using lexicons, machine learning algorithms, or pre-trained models to classify text as positive, negative, or neutral sentiment. Use Power BI to connect to your scraped data sources, perform data transformations, and create interactive visualizations and dashboards for in-depth analysis and insights.
Motion Detection is a computer technology related to computer vision. Detection is locating an object in an image or a video sequence. Motion detection is the process of detecting a change in the position of an object relative to its surroundings. Motion Detection has applications such as surveillance and security, smart homes, and health monitoring. Nowadays Surveillance Systems, Self-Driving Cars, Human Interactive Robots & Various Analysis Systems are in its golden period. To Support these technology Computer Vision (CV) is Very Important. By using Background Subtraction Method Motion Detection is very accurate as well as fast.
The digital era has seen an explosion of visual data, with images and videos being generated rapidly. Blurred images, caused by factors like camera shake or motion blur, can significantly affect computer vision algorithms' performance.Traditional image processing techniques often fail to preserve important features while enhancing blurred images.
