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Rohan Limaye's Projects

a-maze icon a-maze

3D GUI-based Maze Game in which the player has to find the treasure on a map within stipulated time.

appliance_energy_prediction icon 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

dsa icon dsa

all dsa HAs . final codes

extensive-us-presidential-election-analysis icon 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

facial-age-detection icon 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

lp3 icon lp3

SPPU BE-SEM2 LP3 All Codes

parkinsons-disease-detection icon 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

polls_and_press icon polls_and_press

Exploring the relationship between press coverage and polling performance

raternet icon 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.

tranx icon tranx

A general-purpose neural semantic parser for mapping natural language queries into machine executable code

triviahub icon triviahub

Developed a desktop application to maintain a vast repository of facts, figures and trivia on a single platform using Java and MySQL.

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