• Fixed typos in the documentation.

• Community members Profile
• Improved the code quality

• NumPy Frontend

  • Floor on Mathematical functions of Numpy Frontend
  • Modf on Mathematical functions of Numpy Frontend
  • Frexp on Mathematical functions of Numpy Frontend
  • Conj on Mathematical functions of Numpy Frontend
  • Conjugate on Mathematical functions of Numpy Frontend
  • Conj on Instance Methods of NumPy Frontend

• Jax Frontend

  • Mean on Instance Methods of JAX Frontend
  • Conj on Instance Methods of JAX Frontend
  • Cumsum on Instance Methods of JAX Frontend
  • Comprod on Instance Methods of JAX Frontend
  • Nonzero on Instance Methods of JAX Frontend
  • Ravel on Instance Methods of JAX Frontend
  • Modf on NumPy Methods of JAX Frontend

• Functional API

  • Modf on Extended IVY functional API

Forest Fire Detection System
Early detecting forest fires using IoT and deep learning algorithms.
Sensor used: 1- ESP32 Camera 2- Air Quality Sensor 3- Temperature & Humidity Sensor 4- Buzzer 5- Bulb 6- Infrared Flame Sensor.
Algorithm used: CNN.

Face Recognition
Face Recognizer identifies the face of an individual by their name with the help of their facial features.
Algorithms used: 1- Haar Cascade for face detection 2- LBPH Algorithm for face recognition.

Calculator
Calculator does some basic calculations.
There are currently two versions of the project: 1- CLI-calculator 2- GUI-calculator
This repository is open to all for contribution, especially at the time of Hactober Fest

gRPC
Illustrated the use of gRPC.

IoT Smart Kitchen
A smart IoT device to make your kitchen more efficient.
Sensor used: 1- Motion Sensor 2- Air Quality Sensor 3- Temperature & Humidity Sensor 4- Buzzer 5- Bulb

Draw to Develop
A web application where you upload pictorial drawings of major HTML components which are transformed into a single page website via Deep Learning.
Libraries used: 1‑ TensorFlow 2‑ TensorFlow (Keras)
Functions used: 1‑ ELU 2‑ ReLU 3‑ Sigmoid
Algorithm used: CNN