Pinned Repositories
Age-Extimation-using-Facial-features-using-Machine-Learning
Age detection is carried out using facial landmarks and wrinkles (detected using edge detection). It involves implementation of LBP for feature extraction and ANN for estimating age from the facial images.
Automated-Attendance-System-using-ML
An Automated Attendance System is made for the Company utility to mark the attendance of the employees from the surveillance video based on their entries and exits at the workplace.
Azure-ML
Comparative-study-of-ED-SVM-ANN-and-CNN-for-Face-Recognition-using-SIFT-and-HoG-feature-extractors
This project describes various feature extraction techniques for human face recognition and does a comparative analysis among them. Over past couple of decades, face recognition has been a research area of great interest. There are three techniques primarily studied. The first being SIFT features (Scale Invariant Feature extraction) + Support Vector Machine and ANN. Another approach studied is HOG features(Histogram Of Gradients) with Support vector Machine and Artificial Neural Networks. Most importantly, Convolutional Neural Network is also studied. And Lastly, Euclidean distance based face recognition is also carried out. The purpose of this analysis is to demonstrate the most effective and feasible technique for face recognition in terms of design, implementation and applications. Keywords—Face recognition, Histogram of Gradients , Neural networks, Scale invariant feature transform (SIFT) , Support vector Machines.
Craigslist
Deadlock-Management
Deadlock is a situation where a set of processes are blocked because each process is holding a resource and waiting for another resource acquired by some other process. To detect the deadlock a dummy dealock is created. the deadlock is avoided and prevented using different algorithms.
Obstacle-detection-and-path-navigation-for-Visually-Imapired-people-using-Computer-Vision
Computer Vision assignments of Face recognition using SIFT and HOG feature extractor and research paper implementation is done. Also,Project based on obstacle detection and distance estimation to aid visually impaired people is explained in detailed with implementation results.
Paragraph-summarization-in-a-sentence-using-NLP
Text summarization is the problem of creating a short, accurate, and fluent summary of a longer text document. Automatic text summarization methods are greatly needed to address the ever-growing amount of text data available online to both better help discover relevant information and to consume relevant information faster. Text has been summarized using NLP by extracting and processing keywords.
Sentiment-Analysis-using-NLP
Using concepts of NLP, Social network analysis (SNA) and sentiment analysis, social image i.e liking among people was expressed for any particular individual/ entity/ product. What really differentiated it from other such projects was that along with sentiment analysis, the reason for a particular positive / negative sentiment was also expressed using news from inshorts which seems to be more reliable and authentic than any random tweet.
Celebrity-look-a-like
A facial recognition based system to find a resembling celebrity.
BansiG's Repositories
BansiG/Comparative-study-of-ED-SVM-ANN-and-CNN-for-Face-Recognition-using-SIFT-and-HoG-feature-extractors
This project describes various feature extraction techniques for human face recognition and does a comparative analysis among them. Over past couple of decades, face recognition has been a research area of great interest. There are three techniques primarily studied. The first being SIFT features (Scale Invariant Feature extraction) + Support Vector Machine and ANN. Another approach studied is HOG features(Histogram Of Gradients) with Support vector Machine and Artificial Neural Networks. Most importantly, Convolutional Neural Network is also studied. And Lastly, Euclidean distance based face recognition is also carried out. The purpose of this analysis is to demonstrate the most effective and feasible technique for face recognition in terms of design, implementation and applications. Keywords—Face recognition, Histogram of Gradients , Neural networks, Scale invariant feature transform (SIFT) , Support vector Machines.
BansiG/Obstacle-detection-and-path-navigation-for-Visually-Imapired-people-using-Computer-Vision
Computer Vision assignments of Face recognition using SIFT and HOG feature extractor and research paper implementation is done. Also,Project based on obstacle detection and distance estimation to aid visually impaired people is explained in detailed with implementation results.
BansiG/Paragraph-summarization-in-a-sentence-using-NLP
Text summarization is the problem of creating a short, accurate, and fluent summary of a longer text document. Automatic text summarization methods are greatly needed to address the ever-growing amount of text data available online to both better help discover relevant information and to consume relevant information faster. Text has been summarized using NLP by extracting and processing keywords.
BansiG/Age-Extimation-using-Facial-features-using-Machine-Learning
Age detection is carried out using facial landmarks and wrinkles (detected using edge detection). It involves implementation of LBP for feature extraction and ANN for estimating age from the facial images.
BansiG/Automated-Attendance-System-using-ML
An Automated Attendance System is made for the Company utility to mark the attendance of the employees from the surveillance video based on their entries and exits at the workplace.
BansiG/Azure-ML
BansiG/Craigslist
BansiG/Deadlock-Management
Deadlock is a situation where a set of processes are blocked because each process is holding a resource and waiting for another resource acquired by some other process. To detect the deadlock a dummy dealock is created. the deadlock is avoided and prevented using different algorithms.
BansiG/Sentiment-Analysis-using-NLP
Using concepts of NLP, Social network analysis (SNA) and sentiment analysis, social image i.e liking among people was expressed for any particular individual/ entity/ product. What really differentiated it from other such projects was that along with sentiment analysis, the reason for a particular positive / negative sentiment was also expressed using news from inshorts which seems to be more reliable and authentic than any random tweet.
BansiG/Audio-Steganography
Steganography does not alter the structure of the secret message, but hides it inside a cover audio so that it cannot be seen. A message in a cipher text, for instance, might arouse suspicion on the part of the recipient while an “invisible” message created with steganographic methods will not. In other word, steganography prevents an unintended recipient from suspecting that the data exists. In addition, the security of classical steganography system relies on secrecy of the data encoding system. Once the encoding system is known, the steganography system is defeated.
BansiG/Find_your_celebrity_look_alike
BansiG/Huffman-Code-Data-Compression-
BansiG/Project
BansiG/python-docs-hello-world
A simple python application for docs
BansiG/Summarizing-a-pragraph-in-a-sentence-using-NLP
Text summarization is the problem of creating a short, accurate, and fluent summary of a longer text document. Automatic text summarization methods are greatly needed to address the ever-growing amount of text data available online to both better help discover relevant information and to consume relevant information faster.