My Profile Summary
Computer Science graduate with an impressive 8.6 CGPA. Proficient in Python, Machine Learning,
Keras, TensorFlow, Neural Networks, NLP, SQL, Statistics, AWS, and Deep Learning. Recognized for
fostering collaborative teamwork and consistently delivering high-quality results, I bring a blend of
proven analytical prowess and a knack for rapidly mastering new technologies. Experienced in
leadership through organizing impactful events and workshops at Google Developers Student Club @ IERT Prayagraj
The system commences by capturing
the user’s real-time facial expressions and predict their
emotion using a CNN model. The data is then translated into
corresponding genres and fed into a knowledge-based movie
recommendation system. Incorporating the user’s emotional state
into the recommendation process, the system provides more
relevant movie suggestions. Upon detecting the user’s gaze on a
specific movie from the recommended list, the system triggers
another content-based recommendation system.
Developed an Artificial Neural Network model utilizing Python, to analyze data and accurately identify employee attrition.
Stock price prediction involves using historical stock data to forecast future stock prices. Recurrent Neural Networks (RNNs) and Long Short-Term Memory networks (LSTMs) are particularly well-suited for this task because they can capture temporal dependencies in sequential data.
In this project I walk through how to scrape data from Amazon using BeautifulSoup and Requests and use it further.
Banku provides you assistance in your work. Finding any answer on wikipedia, opening any website, playing music etc.