Rohan Yogesh Limaye's repositories
Parkinsons-Disease-Detection
Worked on a Medical Computer Vision project involving Parkinson's Disease Detection by using Histogram of Oriented Gradients (HOG), Machine Learning and OpenCV on the images generated by the Spiral-Wave test
Real-Time-Sports-Classification
Developed a Video-based Sports Classification model that predicts the sport being played in a video in real time
ACM-ICPC-Algorithms
Algorithms used in Competitive Programming
Face-Mask-Recognition-System
Developed a Face Detection + Mask Recognition model using Keras and OpenCV and Deep Learning
Facial-Age-Detection
Developed an Image-based Classifier model using CNN,Keras and OpenCV to predict the Age of a person from an input image
RaterNet
Developed an Android App that provides users a platform to find the best ISP in their area based on data collected from other users in the same area. The system, developed using Java-Android with Firebase for the backend, works on the client-server communication model supporting CRUD operations for multiple users.
Appliance_Energy_Prediction
Predicted the energy consumed by various appliances using moisture content, temperature & other external conditions given in the data set. We used feature engineering techniques and the LSTM Network for training and got the best results. We were ranked 2nd out of 50+ participants after the final evaluation
B.E-Project-Report-Pune-University-Latex-Templates
B.E Project Report Pune University Latex Templates
Data-Science--Cheat-Sheet
Cheat Sheets
Extensive-US-Presidential-Election-Analysis
Explored the relationship between polling and actual outcomes of the 2016 Presidential election. Applied numerous EDA and Feature Engineering techniques to get analytical and representative conclusions using multiple datasets
Fingers-Counting-with-CV-and-Keras-Model
Finers counting with OpenCV and Keras Model
Polls_and_press
Exploring the relationship between press coverage and polling performance
spring-petclinic
A sample Spring-based application
tranX
A general-purpose neural semantic parser for mapping natural language queries into machine executable code