Vaibhav_Rajput's repositories
Adaptive_traffic_light_system
Traffic congestion lead to disorder on roads. Currently traffic signals have pre defined timers. Our approach is, to control the signals based on real time vehicle density thus saving time, resources and reducing pollution.
Emergency_vehicle_detection_system
This repository contains implementation of real world problem of Emergency Vehicle Siren Detection .Underlying idea is to process the audio signal of siren to extract its various features and train the model using best suited Machine Learning algorithm in order to achieve end result of maximum accuracy. Numerous other techniques were used before applying KNN ,ANN for a conclusive evidence to attain 98% accuracy.
custom_yolo
yolo trained on custom dataset. Dataset prepared by labelimg.
darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
tweet_sentiment_predictor_web_app
I will briefly explain the structure of dataset.I will generate and analyze metafeatures. Then, I will visualize the dataset using Matplotlib, seaborn and Plotly to gain as much insight as I can.Deployment is done using Heroku.