Pinned Repositories
crop-disease
Crop Disease Detection of Potato, Rice and Tea Crops using Custom CNN model, TensorFlow v2, Python, Flask, OpenCv2
face-recognizer
Face Detection using OpenCV and Recognition of test faces using PCA on trained faces
Marketing-Strategy-Personalised-Offer
Binary Classification Problem of User Offer Acceptance regarding Dining/Takeaway coupons/offers provided in a vehicle
music-recommendation-facial-emotion
Inside-Out is a web application that uses FER library, OpenCv's Haarcascades to detect faces and their emotion. Music is recommended using Spotify API. The website uses Python, Flask, SocketIO, HTML, CSS & JS.
priyanka-maz.github.io
Quantified-Self-Application
Quantified Self App has been developed using Python, Flask, Vue, Celery, Redis and sqlite3. It is a self-tracking web application that tracks life parameters using trackers and plots trendlines on the basis of the logs.
RacoonCycle
raspi-camera-doorbell
Raspi-Cam is a door camera with face detection and recognition capabilities. It also has the ability to stream, record and capture still images from the live feed of the camera. The project is made on Raspberry Pi. It uses OpenCV and face_recognition in a Flask Server supported by HTML, JS, CSS as frontend.
sign-language-detection
EchoSign was made as part of an IBM internship project which we won with this project. It uses transfer learning on MobileNet on a hand-curated dataset of ASL images. The website for this classification was developed in Flask and it uses TTS technology for ASL text to speech conversion.
Weather360
This is a weather app which addresses the need for a fast and easy to manage article system, while providing a focus on weather and climate information. It uses Azure Virtual Machine, Azure Text-To-Speech, Java Servlet, JDBC, Tomcat, MySQL, JSP.
priyanka-maz's Repositories
priyanka-maz/sign-language-detection
EchoSign was made as part of an IBM internship project which we won with this project. It uses transfer learning on MobileNet on a hand-curated dataset of ASL images. The website for this classification was developed in Flask and it uses TTS technology for ASL text to speech conversion.
priyanka-maz/face-recognizer
Face Detection using OpenCV and Recognition of test faces using PCA on trained faces
priyanka-maz/Quantified-Self-Application
Quantified Self App has been developed using Python, Flask, Vue, Celery, Redis and sqlite3. It is a self-tracking web application that tracks life parameters using trackers and plots trendlines on the basis of the logs.
priyanka-maz/Weather360
This is a weather app which addresses the need for a fast and easy to manage article system, while providing a focus on weather and climate information. It uses Azure Virtual Machine, Azure Text-To-Speech, Java Servlet, JDBC, Tomcat, MySQL, JSP.
priyanka-maz/crop-disease
Crop Disease Detection of Potato, Rice and Tea Crops using Custom CNN model, TensorFlow v2, Python, Flask, OpenCv2
priyanka-maz/Marketing-Strategy-Personalised-Offer
Binary Classification Problem of User Offer Acceptance regarding Dining/Takeaway coupons/offers provided in a vehicle
priyanka-maz/music-recommendation-facial-emotion
Inside-Out is a web application that uses FER library, OpenCv's Haarcascades to detect faces and their emotion. Music is recommended using Spotify API. The website uses Python, Flask, SocketIO, HTML, CSS & JS.
priyanka-maz/priyanka-maz.github.io
priyanka-maz/RacoonCycle
priyanka-maz/raspi-camera-doorbell
Raspi-Cam is a door camera with face detection and recognition capabilities. It also has the ability to stream, record and capture still images from the live feed of the camera. The project is made on Raspberry Pi. It uses OpenCV and face_recognition in a Flask Server supported by HTML, JS, CSS as frontend.