Kanika Jindal's Projects
Samples for the Anomaly Detection API documentation:
Use MiniMax Algorithm to play 8 by 8 checker's board game. By Looking at the current board configuration and pieces locations both of opponents and self, the agent suggests the best possible move. The minimax algorithm works on finding the best move by predicting through a tree structure of min score (opponents move) and max score (self move) alternatively till the levels where agent is about to run out of game time. The minimum tree height it looks at is 2. It can work in two modes: "SINGLE" where it suggests a single next move looking at current board and "GAME" mode where it can lead you to win the game and suggests moves until the game ends for either of the player. This agent is built using no reinforcement or machine learning but pure Python code. It has been proved successful against 20 such agents built with different minds.
Document segmentation based on topics in it.
Face recognition and detection.
Shiny Dashboard application
Based on GlossBERT (https://github.com/HSLCY/GlossBERT)
Prediction application for cryptocurrency rate
Config files for my GitHub profile.
MINDS project submission by Kanika Jindal
Plagiarism detector for Udacity Machine Learning Nanodegree coursework.
A*, BFS and UCS implementation in Python.
Sentiment analysis using AWS SageMaker, Amazon Lambda, Amazon S3, Amazon API Gateway.
Kanika jindal's submission for UCI Spam email dataset classification task for on campus AI developer opportunity.
Image classification on browser using TensorFlow.js.