Combat RPG Game in VR

Combat RPG Game in VR

Combat RPG mini-game where you can grab weapons, hit skeletons and talk to NPC in a VR world

Game Development, Virtual Reality

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Description

This mini-game is part of The Complete VR Game Development Course and consists of a small dungeon where you are attacked by a horde of skeletons.

This game uses a lot of the components developed in previous modules, such as free teleportation, interactive objects, and the ability to grab and utilize weapons.

Indirect light baking was used to achieve a good FPS (the lamps are all emissive materials, baked into the walls). The models were created with MagicaVoxel.

Mecanim animations were used for weapon movement when hitting.

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Links

The Complete VR Game Development Course

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Rima M. updated status

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Rima Modak

I am currently working to develop a prototype of an device based on IoT. This device will be used to detect any kind of material. It will be used to detect both living and non-living things, and after detecting, it will display varies other things related to the detected object according to the tags provided by the user/customer.

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Aravindhan N. created project Automatic attendance management system using face detection

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Automatic attendance management system using face detection

Automatic attendance management system will replace the manual method, which takes a lot of time and is difficult to maintain.There are many bio metric processes ,in that face recognition is the best method. In our campus staff attendance is taken with the help of Gesture recognition /attendance sheet .We can take this to next level by implementing Artificial Intelligence based Face Recognition using Convolution Neural Network(CNN). We have to train our neural net using COCO (large Image dataset designed for object detection) and Staff Dataset (Several images of individual staffs). Since we don't have the photos of the staffs,we have trained our neural net using our own photos.Our Neural net consists of 20 neurons in the hidden layer which help us to diagnose the pixels of the image and compares the result with the trained dataset .By using our advanced system the staffs can use their own mobile/laptop [camera] for registering their presence in their own place which is possible only if they are connected to our college Network (WiFi).

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