6 Best Raspberry Pi 5 Projects 2025

Ideas, Wiring & Parts List

The Raspberry Pi is a single-board computer (SBC) the size of a credit card, originally designed for education with a rich software ecosystem. As a low-cost, high-performance microcomputer, its applications span industrial automation, smart homes, IoT, media centers, and deep learning. It connects to peripherals like mice, keyboards, and monitors, replacing many functions of a desktop computer while supporting 4K HD video playback. The Raspberry Pi 5, launched in late October 2023, stands as the most powerful Raspberry Pi model to date and is the first to feature a chip designed in-house by the Cambridge, UK-based company. This article explores top Raspberry Pi 5 projects for 2025—from AI robots to home automation—providing detailed wiring diagrams, parts lists, and component selection guides.

New Features of Raspberry Pi 5: Unlocking Innovative Projects

Raspberry Pi 5 Features

Compared to its predecessor, the Raspberry Pi 4, The Raspberry Pi 5, shown in Figure 1, delivers approximately three times the CPU performance and a host of additional improvements shown in Table 1. It introduces a new PCIe 2.0 interface for connecting various high-speed peripherals, eliminating limitations on data storage. The newly integrated RTC (Real-Time Clock) features independent power supply for stable time recording. It comes standard with dual camera ports supporting simultaneous dual-channel image capture.

Raspberry Pi 5 Project Potential

The Raspberry Pi 5 delivers double the performance of its predecessor, featuring PCIe connectivity and dual 4K output with low power consumption. It excels at edge AI, robotics, and smart home applications while also serving as a capable server or embedded development platform. Offering exceptional value for money, it’s the top choice for makers and students to bring diverse creative projects and prototypes to life at minimal cost.

Edge AI
The Raspberry Pi 5, with its enhanced GPU and support for higher-bandwidth PCIe, has become an ideal platform for deploying lightweight AI models, enabling smooth local operation of neural network models like YOLO.

Computer Vision + Robotics
With multi-core computing power and dual CSI/DSI interfaces, the Pi 5 can simultaneously process data from two cameras, providing ample computational capability for the localized deployment of autonomous navigation robots and drone visual inspection systems.

Smart Home & IoT
The Raspberry Pi 5 seamlessly integrates with various smart devices to create personalized home environments. It also serves as a central hub for IoT systems, enabling data collection, monitoring, and automated control. Supporting a wide range of sensors and actuators, it finds extensive applications in environmental monitoring, smart agriculture, and beyond.

Education Sector
The Raspberry Pi 5 boasts powerful development capabilities and diverse educational resources, making it ideal for school programming courses and STEM education. It enables students to easily grasp computer science, programming, machine learning, and more.

Raspberry Pi 5 Performance and Machine Learning

The Raspberry Pi 5 is well-suited for AI development and edge computing not only because of its command processing speed, but also because its architecture and scalability address many pain points of contemporary products.

Core computing power tailored for AI operations
The Raspberry Pi 5 features a quad-core ARM Cortex-A76 processor supporting 128-bit NEON SIMD, enabling efficient processing of matrix operations and vector operations in AI inference to meet the foundational computing power requirements for edge AI.

Integrated graphics and multimedia capabilities adapt to visual AI tasks
The 800MHz VideoCore VII GPU supports multiple graphics interfaces and features built-in 4K decoding, effortlessly handling edge-based multimedia AI scenarios such as image recognition and AI video surveillance. It delivers foundational visual AI processing without requiring additional hardware.

Expandability meets edge scenario demands
The Raspberry Pi 5 features a built-in PCIe interface for connecting AI accelerators like the Coral Neural Compute Stick. Combined with GPIO and dual MIPI camera interfaces, it enables flexible integration of various sensors and peripherals, adapting to diverse hardware expansion needs across edge scenarios.

Beginner Projects: Quick Start & Essential Applications

Easy Raspberry Pi 5 projects emphasize low cost and high practicality. Requiring no significant additional investment, they feature readily available accessories and straightforward operation. Even beginners with no prior experience can get started quickly. These projects deliver practical solutions for everyday needs while also enabling the creation of fun entertainment devices, balancing utility with playfulness. The following two projects are cost-effective entry-level options well-suited for beginners.

Project 1: Network-Wide Ad Blocker (DNS Sinkhole)

Pi-hole is a network ad blocker running on Raspberry Pi 5. It protects devices from unwanted content by creating a DNS sinkhole. With simple Pi-hole setup, it enables local DNS control, automatically blocks and hides app push ads, tracks malicious domain requests, achieves full-network ad blocking, and safeguards internet security.

Core Components
Raspberry Pi 5 (4GB or 8GB): The hardware platform running the Pi-hole service, responsible for resolving DNS and blocking ad domains.

MicroSD card: Used to install the Raspberry Pi OS operating system and Pi-hole software.

Official 27W USB-C PD power supply: Provides stable power to the Raspberry Pi.

Project 2: Retro Gaming Console (RetroPie)

RetroPie is a retro gaming emulation software compatible with mainstream Raspberry Pi models such as the 3B, 4B, and 5. It supports classic consoles including the Famicom, arcade systems, Game Boy Advance, and PlayStation 1. With HDMI output, it connects directly to TVs or monitors for high-definition display.

Core Components
Raspberry Pi: Currently the best choice for performance, we recommend the Pi 4B or Pi 5 for a smooth emulation experience.

MicroSD card: Used to install the RetroPie operating system and ROMs.

HDMI cable: Connects the Raspberry Pi to a display device.

USB keyboard and mouse: For initial system setup and configuration adjustments.

USB game controller: Delivering an authentic gaming experience.

Advanced Projects: Leveraging PCIe & AI Performance

The Advanced Project fully leverages the Raspberry Pi 5’s PCIe interface and powerful computing capabilities. It not only expands high-speed storage through PCIe NVMe SSDs but also unleashes computational power for local AI applications. This effortlessly unlocks the Raspberry Pi 5’s full performance potential, moving beyond the limitations of basic projects.

Project 3: High-Speed NVMe NAS Server

The high-speed NVMe NAS is a NAS server integrating NVMe solid-state drive technology. Leveraging the unique capabilities of the Raspberry Pi 5, it achieves ultra-low latency and ultra-high throughput data access through a PCIe HAT and NVMe protocol. This eliminates traditional storage bottlenecks and significantly boosts data transfer speeds, enabling both multi-device file sharing and secure backup of critical data. It is well-suited for everyday storage needs and small office environments.

Detailed Steps
Step 1: Prepare Hardware

Obtain a Raspberry Pi 5 (8GB model recommended), the official 27W USB-C PD power supply, an NVMe.2 expansion dock, and a low-power NVMe SSD.

Step 2: Assemble Hardware
Connect the expansion dock to the Raspberry Pi 5’s PCIe interface using the FPC ribbon cable. Install and secure the SSD, attach a heat sink to it, and ensure the case fan covers this area.

Step 3: Flashing OS And Updating Firmware
Download Raspberry Pi 5 OS Lite from the official website. Use Raspberry Pi Imager to flash it to a MicroSD card, then power on the device. In the terminal, run sudo apt update && sudo apt full-upgrade followed by sudo rpi-eeprom -a , then reboot.

Step 4: Enable PCIe 3.0 Mode
Manually edit the sudo nano /boot/firmware/config.txt file. Add the following two lines at the end: dtparam=pcie×1 and dtparam=pcie×1-gen=3. Reboot the system.

Step 5: Format The Hard Drive and Enable Auto-mounting
Format the drive using sudo mkfs.ext4 /dev/nvme0n1. Create a mount point /mnt/nas and add the disk’s UUID to /etc/fstab to enable automatic mounting at boot.

Step 6: Deploy Sharing Services
Install Samba or configure OpenMediaVault（OMV）interface for file sharing, then set user permissions.

Project 4: Local LLM AI Assistant

The Raspberry Pi 5, equipped with native PCIe interfaces and high-speed NVMe SSDs, serves as the ideal hardware platform for local large language model assistants. By deploying the lightweight Ollama, the Raspberry Pi 5 integrates speech recognition and synthesis technologies to build a responsive AI voice assistant such as the one shown in Figure 2. This enables users to invoke the local LLM via voice commands for instant question-answering queries.

Detailed Steps
Step 1: Hardware Preparation
Raspberry Pi 5 (4GB/8GB), active cooling system, official 27W USB-C PD power supply.

Step 2: System Installation
Install 64-bit Raspberry Pi OS using the Raspberry Pi Image, with SSH and network configuration pre-enabled.

Step 3: Install Ollama Framework
Execute the official one-click installation script in the terminal.

Step 4: Acquire Adapted Model
Run the command ollama run llama3: 8b-instruct-q4_K_M or the lighter-weight phi3.

Step 5: Overclock CPU Frequency and Memory Allocation
Configure force_turbo=1 in /boot/firmware/config.txt (requires adequate cooling).

Step 6: Deploy Web Interface
Deploy Open WebUI or a simple Streamlit interface using Docker.

Which Raspberry Pi 5 projects are ideal for robotics and automation

The Raspberry Pi 5 boasts powerful data processing capabilities and a wide array of hardware interfaces such as the examples shown in Figure 3, making it an ideal development platform for robotics projects and automation control. Such hardware projects collect real-time environmental data through multiple sensors and drive actuators with precise motor control, enabling efficient automated responses and interactions with the physical world. Typical applications include AI vision recognition robots and smart home environmental monitoring stations.

Project 5: AI Vision Robot Car

AI visual recognition robots are intelligent systems capable of perceiving their environment through vision and acting autonomously. They primarily utilize camera modules to capture real-world images, converting light signals into digital video streams, and then employ computer vision technology to perform in-depth analysis and interpretation of these images.

In practical development, the powerful open-source OpenCV provides a comprehensive suite of algorithmic tools spanning image preprocessing, feature extraction, and target tracking—serving as the critical bridge connecting physical images to machine intelligence. By integrating these three elements, robots can perform tasks such as target recognition and object sorting, achieving a complete closed-loop process from “seeing” to “cognition” and ultimately to “action.”

Project 6: Smart Home Environment Monitor

The Smart Home Environmental Monitoring Station is a localized monitoring system built on an IoT architecture. Its core function involves continuously collecting physical environmental data within the home through multiple sensors, then aggregating this data via IoT protocols such as Wi-Fi or Zigbee to a central processing unit (Raspberry Pi 5).

This system typically integrates with the open-source Home Assistant for centralized management and smart interconnectivity. Users can monitor real-time environmental conditions throughout their home via the dashboard and set automated rules to enhance living comfort.

Essential Accessories & Buying Guide for Raspberry Pi 5 Projects

Raspberry Pi 5 Accessories

Power Supply: 27W USB-C PD Power Adapter

PoE+ HAT: Power over Ethernet Expansion Board

M.2 HAT: PCIe to NVMe Expansion Board

SD Card: Recommended SanDisk Extreme or Samsung EVO Plus (must be labeled with A2 certification)

Active Cooler: Recommended Raspberry Pi Active Cooler（For Pi 5 Only）

Raspberry Pi Selection Guide

Choosing a Raspberry Pi model largely depends on what you plan to use it for.

Model Selection Recommendations
If you’re a beginner with a limited budget, consider the Raspberry Pi Zero W or Raspberry Pi 3 B. They offer extensive resources and an active community.

For everyday use where processor heat isn’t a concern, the Raspberry Pi 4 Model B (4GB) is suitable for office tasks and light server needs.

If you require high performance, the Raspberry Pi 5 is recommended. Its PCIe interface supports external high-speed storage, making it ideal for machine learning and 4K video processing. A comprehensive list of Raspberry Pi versions and their features are shown in Table 2.

Why Active Cooling Is Critical For Pi 5

The reasons why the Raspberry Pi 5 requires heat dissipation are as follows:

Performance And Power Consumption Increase: The processor performance is approximately three times that of the previous generation, with corresponding increases in power consumption and heat generation.

Insufficient Passive Cooling Capacity: The PCB area is relatively small, and the built-in heat sink is limited. Passive cooling can only handle light loads; under heavy loads, heat cannot be dissipated quickly enough.

Thermal Throttling Protection: When core temperatures reach approximately 85°C, the system automatically reduces CPU clock speeds to protect hardware, resulting in decreased performance.

Ensuring Stable Operation: Active cooling guarantees consistent performance during prolonged high-load workloads without interruptions.

Choosing The Right HATs For Your Project

When selecting a Raspberry Pi Hardware Attached on Top (HAT) expansion board, adhere to these three core principles:

Define Project Requirements: Choose a HAT with features matching your project’s core needs (e.g. motor control, AI acceleration) to avoid paying for unnecessary functionality.

Verify Electrical And Physical Compatibility: Focus on ensuring the HAT’s GPIO pins layout perfectly matches the Raspberry Pi 5, and that its power requirements fall within the Pi 5’s capabilities (requiring a 5V/5A PD power supply).

Confirm Software And Ecosystem Compatibility: Ensure the HAT provides drivers or software libraries specifically optimized for the Raspberry Pi 5, along with robust documentation and community support to guarantee seamless integration.

FAQ: Raspberry Pi 5 Projects

Can I use Raspberry Pi 4 accessories on Pi 5?

The Raspberry Pi 5 offers good backward compatibility with core accessories for the Raspberry Pi 4. However, differences in port layout and power supply between the two models mean that cases are not universally compatible. Therefore, accessories designed for the Pi 4 cannot be used with the Pi 5.

How can I use the Raspberry Pi 5 for DIY electronics projects?

The most straightforward approach to starting DIY electronics projects is to use a breadboard for solderless prototyping, connecting components with jumper wires to quickly build circuit prototypes.

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