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https://github.com/ieee-nitk/return_of_the_snake

Implemented the Retro SNAKE Game on Nexys4 Artix 7 DDR FPGA board using Verilog and displayed it onto a VGA compatible monitor
https://github.com/ieee-nitk/return_of_the_snake

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Implemented the Retro SNAKE Game on Nexys4 Artix 7 DDR FPGA board using Verilog and displayed it onto a VGA compatible monitor

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# Return_Of_The_Snake
Implemented the Retro SNAKE Game on Nexys4 Artix 7 DDR FPGA board using Verilog and displayed it onto a VGA compatible monitor.

## Abstract
This project implements the retro **Snake Game** on an FPGA board using Verilog HDL. Through this project, we aim to demonstrate the capabilities of FPGA platforms in creating real-time, interactive digital environments. The project showcases digital design, FPGA programming, and hardware-software integration, serving as a hands-on experience in these areas.

## Introduction
The project leverages the versatility of **FPGAs** (Field-Programmable Gate Arrays) to implement the classic Snake Game. Players control a snake to consume randomly appearing apples while avoiding collisions with walls or itself. The simplicity of the game combined with its real-time nature makes it an ideal demonstration of FPGA capabilities.

This implementation explores core aspects of digital design, including:
- Combinational and sequential logic
- Finite State Machines (FSMs)
- Peripheral interfacing

## Objectives
- Develop Verilog modules to control snake movement, generate random apples, and detect collisions.
- Use **Xilinx Vivado** for RTL design, simulation, synthesis, and implementation.
- Program the FPGA with the designed modules and test it on hardware.
- Interface the FPGA with a **VGA display** to project the game onto a monitor.
- Design a user interface using buttons, switches, or external controllers.
- Provide real-time player feedback, including score display and game-over notifications.
- Extend the game with features like bonus apples, speed boosts, and obstacles.

### Mentors:
- [Madhav Kedia](https://github.com/madhavkedia018)
- [Rohan Abhilash S.](https://github.com/Rohan-Abhilash)
- [Omkar Chougule](https://github.com/Omkar-9545)

### Mentees:
- [Tarun Sirigiri](https://github.com/Tarun-Sirigiri)
- [Tejhuram Ravichandran](https://github.com/TejhuramRavichandran)

## References
- [Drive Link for Report](https://drive.google.com/file/d/1cGgnBA8dDdktOeK71ILNqDV473CABYY8/view?usp=drivesdk)
- [YouTube Video 1](https://youtu.be/fJycFrYZnUM?feature=shared)
- [YouTube Video 2](https://youtu.be/yVLQgiavj5I?feature=shared)