AICTE AWS
N/A
N/A
C++, Python, HTML, CSS.
Machine Learning, Deep Learning, TensorFlow, Natural Language Processing (NLP), Computer Vision, Neural Networks, Random Forest Algorithm, Convolutional Neural Network (CNN).
RDBMS.
Streamlit.
ServiceNow Administration, AWS.
Problem-Solving, Critical Thinking, Teamwork, Leadership, Adaptability, Interpersonal Communication, Written Communication, Oral Communication, Lifelong Learning, Knowledge Sharing.
Summary
Developed a web application using Streamlit framework to predict crop recommendations based on user requirements. Utilized a Random Forest Algorithm to achieve higher accuracy for the recommendation system, providing suitable crop suggestions.
Summary
Developed a neural network architecture for high-accuracy emotion classification from the FER-2013 dataset. Implemented a CNN model to classify facial emotions (happiness, sadness, anger) and enhanced real-time detection through model optimization techniques.
Summary
Applied Natural Language Processing (NLP) techniques, including message pre-processing, token conversion, and feature extraction, to classify documents. Utilized classifier algorithms such as Naive Bayes, SVM, and neural networks to achieve high accuracy in categorizing documents.