The purpose of automating the home appliances is to reduce the energy consumption. I used RaspberryPi 3B+ to control the home appliances. Google assistant was integrated with the server so that the home appliances can be controlled from any part of the world.

This bot can run on all terrain. It captures the environment and streams it live to us which we can see in virtual reality. The camera movements of the Robot is controlled by our head gestures using RPI3B+.Arduino mega was used to control the bot's movements.

Hydroponics is the process of growing plants without using soil. I automated the hydroponics farm and stored the pH value, temperature and humidity in the cloud. I built a ML prototype which predicts the plant growth based on the sensor values.

Our drone with a built in camera uses DL Algorithms to check for social distancing. If failing so, the location of the incident is sent to take the necessary actions. Built-in thermal camera checks for high temperature in people. If found, the drone captures an image of the person identified and the location and notifies the authorities to take the necessary actions.

The gestures of the hand are used to control the motion of the robot. The project is based on wireless communication, where the data from the hand gestures is transmitted to the robot over RF link (RF Transmitter – Receiver pair). Hand gesture controlled robot can be used by physically challenged in wheelchairs.

The robotic motion is dependent on light. LDR, motor driver, DC motors and Arduino Uno are the components used in this project. This robot's concept can be used to implement sunlight tracking solar panels to achieve high efficiency.

Tic-tac-toe is a game for two players, X and O, who take turns marking the spaces in a 3×3 grid. The player who succeeds in placing three of their marks in a horizontal, vertical, or diagonal row is the winner. I developed this game in python using the concept of list.

Blackjack is a comparing card game between one or more players and a dealer, where each player in turn competes against the dealer. It is the most widely played casino banking game in the world. I developed this game in python using the concept of OOPS.

T-Rex game can be played when you browse offline. I created a Python module which automatically detects the obstacle in front of the T-Rex and help it to avoid the obstacle by jumping at the right time. The pixels in the screen is used to avoid the obstacle.

Snake is the common name for a video game concept where the player maneuvers a line which grows in length, with the line itself being a primary obstacle. I created this game using python. Turtle library was used for the game's graphics.

For simplicity and practicality, I choose not to use modules such as PyGame and complex gaming softwares like Panda3D. This program is written in the fairly easy to read Turtle graphics module.

The player controls an in-game paddle by moving it vertically across the left or right side of the screen. Players use the paddles to hit a ball back and forth. The goal is for each player to reach eleven points before the opponent. I created this game using python. Turtle library was used for the game's graphics.

Our solution, Audio Based Environment Simulator provides a visually impaired with an audio-based environment simulation which identifies objects around the person in close vicinity and relays out in the form of speech (audio). It is to improve the real world navigation skill for visually impaired.

The global burden of diabetic retinopathy (DR) continues to worsen and DR remains a leading cause of vision loss worldwide. Our project predicts DR progression utilizing deep learning (DL), using input colour fundus photographs (CFPs).

Cytogeneticists perform karyotyping which involves segmentation and classification of individual human chromosomes during metaphase stage of cell division. Doctors analyze the stained cell images and categorize them into one of the 24 chromosome classes. This AI module assists doctors and reduce their cognitive load.

I developed a simple CNN module with user interface for classifying whether a given image is a Dog or a Cat.CNNs are deep learning models suited for analyzing visual imagery. They are heavily influenced by how we - humans, see the surrounding world. Flask was used to develop the UI.

Multiple Linear Regression algorithm was used to predict the profit of a startup located in America based on the amount spent on Research and development, administrator, Marketing and the state in which it is located.

Handwritten recognition enables us to convert the handwriting documents into digital form. This technology is now being used in numerous ways: reading postal addresses, bank check amounts, digitizing historical literature. ANN module was used to train and recognise the handwritten digits.