Projects

I have done 2 Minor projects and 1 Major project during my engineering. Every project comes up with new tasks and challenges. I learnt new concepts and technologies while working on these projects.

Multi-Level Car Parking System

Member

We propose an efficient solution for daily parking problems in cities and in the urban areas to reduce traffic congestion and save money, time and fuel.
A license plate recognition system is built using OpenCV (Open Computer Vision) technology and OCR (Optical Character Recognition) engine.
After the recognition of license plate, next task is to detect an empty slot for the vehicle. YOLO (You Only Look Once) is used for the detection of empty slot.
Technologies used:- Python; Machine Learning Libraries like openCV, tesseract, pandas, PyTorch, CUDA, numpy; Deep Learning Algorithms like YOLO.

Stock Market Prediction

Member

Our aim is to build a system which will accurately predict the future financial outcome (stock price) of a company.
Implemented Linear Regression and LSTM on Stock Market Price Dataset from kaggle.
Used Sentiment Analysis on the News Dataset and implemented SVM to predict whether the price will go up or down.
Technologies used:- Python; Machine Learning Libraries like numpy, pandas, tensorflow, matplotlib, sklearn; Machine Learning Algorithms like Long Short Term Memory, Linear Regression, Support Vector Machine.

Autonomous Tagging of StackOverflow Questions

Member

We propose a multi-label classification system that automatically tags the questions of the user and enhances the experience on the websites like Stackoverflow, Quora.
Data is preprocessed and divided according to the most common tags (top 10).
Implemented Random Forest and Support Vector Machine algorithm on the Stack Overflow Dataset.
Evaluation metrics used were Precision, Recall and F1 Score.
Technologies used:- Python; Machine Learning Libraries like pandas, nltk, sklearn, matplotlib; Machine Learning Algorithms like Random Forest and Support Vector Machine.