Pinned Repositories
AccidentMitigation
The project consists of two systems: Bike-Fall Detection System and Pothole Detection System The python file runs the pothole detection model using a pretrained model. The arduino IDE program runs the hardware part (bike-fall detection system). Read the project report for further info.
Biometric-Attendance-system-with-Automatic-Voice-Messages-Using-Arduino
CityByte
A website which lets you search for cities and lists exciting information about the city.
Covid-19-Preventive-Measures
Automatic mask and temperature detection
CSC510_HW1
CSC-510 SWE HW
Delivery-Route-Optimization
An algorithm to find the shortest distance between two points in a grid.
Enhanced-k-mean-with-automated-k-estimation-and-outlier-detection-using-auto-encoder-neural-network
Given a data-set with vast amounts of data, it can become complicated to study unstructured data. The clustering technique helps in finding structure, and groups a set of data in such a way that the items in that group are more comparable to each other than the other elements. K-means is one such clustering technique that works on the principle of minimizing intra-cluster distance and maximizing inter-cluster distance. Still, the major drawback of this algorithm is the process of choosing the right K value and its inability to detect noise. To overcome the disadvantages mentioned above, this paper discusses various techniques—the use of naïve-sharding centroid initialization to detect the initial centroids, which improves the efficiency of the method drastically. A more effective elbow method has been proposed, which helps in identifying the optimal number of clusters. Finally, anomaly detection using auto-encoder neural networks is used to filter out outliers/noise.
expertiza
Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.
FindMyRoomie
FindMyRoomie is a Web Application that provides a platform for lonely wolves (NC State students) to find roommates of their preference.
Helmet-and-Licencse-Plate-Detection
The project detects helmetless riders using TensorFlow Deep Learning technques, and reads the license plate number of that vehicle using OCR
kironjayesh's Repositories
kironjayesh/Helmet-and-Licencse-Plate-Detection
The project detects helmetless riders using TensorFlow Deep Learning technques, and reads the license plate number of that vehicle using OCR
kironjayesh/AccidentMitigation
The project consists of two systems: Bike-Fall Detection System and Pothole Detection System The python file runs the pothole detection model using a pretrained model. The arduino IDE program runs the hardware part (bike-fall detection system). Read the project report for further info.
kironjayesh/Biometric-Attendance-system-with-Automatic-Voice-Messages-Using-Arduino
kironjayesh/CityByte
A website which lets you search for cities and lists exciting information about the city.
kironjayesh/Covid-19-Preventive-Measures
Automatic mask and temperature detection
kironjayesh/CSC510_HW1
CSC-510 SWE HW
kironjayesh/Delivery-Route-Optimization
An algorithm to find the shortest distance between two points in a grid.
kironjayesh/Enhanced-k-mean-with-automated-k-estimation-and-outlier-detection-using-auto-encoder-neural-network
Given a data-set with vast amounts of data, it can become complicated to study unstructured data. The clustering technique helps in finding structure, and groups a set of data in such a way that the items in that group are more comparable to each other than the other elements. K-means is one such clustering technique that works on the principle of minimizing intra-cluster distance and maximizing inter-cluster distance. Still, the major drawback of this algorithm is the process of choosing the right K value and its inability to detect noise. To overcome the disadvantages mentioned above, this paper discusses various techniques—the use of naïve-sharding centroid initialization to detect the initial centroids, which improves the efficiency of the method drastically. A more effective elbow method has been proposed, which helps in identifying the optimal number of clusters. Finally, anomaly detection using auto-encoder neural networks is used to filter out outliers/noise.
kironjayesh/expertiza
Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.
kironjayesh/FindMyRoomie
FindMyRoomie is a Web Application that provides a platform for lonely wolves (NC State students) to find roommates of their preference.
kironjayesh/friends
kironjayesh/Hybrid-ML-Systems-for-NLP
kironjayesh/Smart-Parking-System
The parking slot is booked via the website, which generates a random OTP and displays it to the user. The user, upon reaching the parking lot, has to enter the OTP in order to gain access to the parking spaces. They can view the status (vacant/occupied) of parking lots using the Virtuino app from Google Play Store.