Kratika Dixit

About Me

I am Kratika Dixit, a B.Tech CSE student currently in my 4th year. With a strong passion for artificial intelligence and machine learning, I have been honing my skills through various internships and projects. I am currently an AI/ML intern at CodeSquadz and have previously interned at Brainwave Matrix Solutions, where I worked on exciting projects like Fake News Detection and Credit Card Fraud Detection.

Skills
Programming Languages: Python, C++,Java, MySQL,HTML,CSS.
Libraries and Tools: NLTK, Spacy, PIL, Scikit-learn, TensorFlow.
Machine Learning Algorithms: Linear SVC, Logistic Regression, Decision Tree Classifier,Inception3,InceptionResnetV2,OpenCV.

Projects

Fake News Detection:

Description: Developed a model to detect fake news using Natural Language Processing (NLP) techniques.
Technologies Used: NLTK, Spacy, TF-IDF, Linear SVC
Outcome: Achieved an accuracy of 99.3291%. The project involved extensive text cleaning, feature extraction, and model training.

Credit Card Fraud Detection:

Description: Created models to detect fraudulent credit card transactions.
Technologies Used: Logistic Regression, Decision Tree Classifier
Outcome: Achieved an accuracy of 0.97007 with Logistic Regression and 0.99843 with Decision Tree Classifier. Evaluated models based on accuracy, precision, recall, and F1 score.

Food Identification Using Image Processing:

Description: An in-house project focused on identifying different types of food items using image processing techniques.
Technologies Used: Inception3 algorithm
Outcome: Developed a system where users can upload an image and detect the food item.

Hackathon Projects:

Hack Celestia:
Role: 1st Runner-up
Project: 'Fitness Buddy' - A fitness website designed to help users with their workout routines.

I am excited to bring my skills and enthusiasm to the Code Cubicle 3.0 hackathon and look forward to collaborating with fellow participants to create impactful solutions.