priyanka-maz Goto Github PK

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.