It is an IoT based project for the aid of the visually impaired having a microcontroller driven automated hardware module and a voice controlled software module.

The software module is in the form of a voice controlled android application providing facilities like GPS navigation, live location tracking, automated call and messaging as well as stick tracking.

The hardware module (mounted on the stick) uses convolutional neural network for obstacle detection and Optical Character Recognition for text extraction and generates output in the form of voice commands.

The two modules are connected using firebase interface.

It is an android application which allows users to search recipes according to the base ingredients available at home rather than the old technique of searching them using their title.

This provides an easy and optimal way for all the homemakers to decide upon what to cook. All the registered users can also add their own recipes to the application.

This project uses firebase as the database for storing the large recipe data on the cloud.

Real time video was recorded using the web camera. The video contents were analysed using haar cascading and open CV.

A rectangular box was generated for detecting face, a few predefined objects and also any kind of motion.

The data related to the features used for detection was stored using Amazon S3.

S3 Buckets and access keys were generated to store and extract the JSON files using which the haar cascading was performed.

Used openCV for color detetion and segmentation to create this magical effect of invisibility.

The basic principle is to use a single-colored cloth as the cloak and replace the cloak pixels with the pixels in the background by detecting the consistent color of the cloak.

The background should be scanned for a small period before creating the invisibility effect to extract the pixels and then segment them in place of the cloak pixels.