.gitlab-ci.yml

-image: beagle/sphinx-build-env:latest
+# The Docker image that will be used to build your app
+image: registry.git.beagleboard.org/docs/sphinx-build-env:latest
 
 pages:
   tags:
   - docker-amd64
+  before_script:
+  - source ./venv-build-env.sh
   script:
   - "./gitlab-build.sh"
   artifacts:
     paths:
-    - public
+    - public
\ No newline at end of file

_static/epilog/external.links

+.. _C:
+   https://docs.beagleboard.cc/docs/latest/intro/beagle101/c.html
+
+.. _Assembly:
+   https://docs.beagleboard.cc/docs/latest/intro/beagle101/assembly.html
+
+.. _Verilog:
+   https://docs.beagleboard.cc/docs/latest/intro/beagle101/verilog.html
+
+.. _Zephyr:
+   https://docs.beagleboard.cc/docs/latest/intro/beagle101/zephyr.html
+
+.. _Linux:
+   https://docs.beagleboard.cc/latest/intro/beagle101/linux.html
+
+.. _device-tree:
+   https://docs.beagleboard.cc/docs/latest/intro/beagle101/device-tree.html
+
+.. _FPGA:
+   https://docs.beagleboard.cc/docs/latest/intro/beagle101/fpga.html
+
+.. _basic wiring:
+   https://docs.beagleboard.cc/docs/latest/intro/beagle101/basic-wiring.html
+
+.. _motors:
+   https://docs.beagleboard.cc/docs/latest/intro/beagle101/motors.html
+
+.. _embedded serial interfaces:
+   https://docs.beagleboard.cc/docs/latest/intro/beagle101/embedded-serial.html
+
+.. _OpenBeagle CI:
+   https://docs.beagleboard.cc/docs/latest/intro/beagle101/openbeagle-ci.html
+
+.. _verification:
+   https://docs.beagleboard.cc/docs/latest/intro/beagle101/verification.html
+
+.. _wireless communications:
+   https://docs.beagleboard.cc/docs/latest/intro/beagle101/wireless-communications.html
+
+.. _Buildroot:
+   https://docs.beagleboard.cc/docs/latest/intro/beagle101/buildroot.html
+
+.. _RISC-V ISA:
+   https://docs.beagleboard.cc/docs/latest/intro/beagle101/riscv.html
\ No newline at end of file

conf.py

@@ -17,15 +17,24 @@ from sphinx.application import Sphinx
 sys.path.append(str(Path(".").resolve()))
 
 project = 'gsoc.beagleboard.io'
-copyright = '2024, BeagleBoard.org'
+copyright = '2025, BeagleBoard.org'
 author = 'BeagleBoard.org'
 
+# Add epilog details to rst_epilog
+rst_epilog =""
+rst_epilog_path = "_static/epilog/"
+for (dirpath, dirnames, filenames) in os.walk(rst_epilog_path):
+    for filename in filenames:
+        with open(dirpath + filename) as f:
+            rst_epilog += f.read()
+
 # -- General configuration ---------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
 
 extensions = [
     "sphinx_design",
     "sphinxcontrib.youtube",
+    "sphinxcontrib.images",
     "sphinx_copybutton"
 ]
 
@@ -122,8 +131,8 @@ html_theme_options = {
     "use_edit_page_button": True,
     "show_toc_level": 1,
     "navbar_align": "right",
-    "show_nav_level": 2,
-    "announcement": "Welcome to the new site for BeagleBoard.org GSoC 2024 projects!",
+    "show_nav_level": 1,
+    "announcement": "Welcome to the site for BeagleBoard.org GSoC 2025 projects!",
     # "show_version_warning_banner": True,
     "navbar_center": ["navbar-nav"],
     "navbar_start": ["navbar-logo"],
@@ -168,7 +177,7 @@ html_context = {
 latex_elements = {
     "papersize": "a4paper",
     "maketitle": open("_static/latex/title.tex").read(),
-    "preamble": open("_static/latex/preamble.tex").read(),
+    "preamble": open("_static/latex/preamble.tex").read() + r"\let\cleardoublepage\clearpage",
     "sphinxsetup": ",".join(
         (
             "verbatimwithframe=false",
@@ -181,6 +190,7 @@ latex_elements = {
     ),
 }
 
+sd_fontawesome_latex = True
 latex_engine = "xelatex"
 latex_logo = str("_static/images/logo-latex.pdf")
 latex_documents = []

guides/index.rst

@@ -12,14 +12,14 @@ Guides
 
    Spend your summer break writing code and learning about open source development while earning money!
    Accepted contributors work with a mentor and become a part of the open source community. Many become lifetime
-   open source developers! The 2024 contributor application window will be open from
-   `March 18th 2024 <https://developers.google.com/open-source/gsoc/timeline#march_18_-_1800_utc>`_ to
-   `April 2nd 2024 <https://developers.google.com/open-source/gsoc/timeline#april_2_-_1800_utc>`_!
+   open source developers! The 2025 contributor application window will be open from
+   `March 24 2025 <https://opensource.googleblog.com/2025/01/google-summer-of-code-2025-is-here.html>`_ to
+   `April April 8 2025 <https://opensource.googleblog.com/2025/01/google-summer-of-code-2025-is-here.html>`_!
    But don't wait for then to engage! Come to our `Discord <https://bbb.io/gsocchat>`_ and
    `Forum <https://bbb.io/gsocml>`_ to share ideas today.
 
 This section includes guides for :ref:`contributors <gsoc-contributor-guide>` & :ref:`mentors <gsoc-mentor-guide>` who want to participate 
-in GSoC 2024 with `BeagleBoard.org <www.beagleboard.org>`_. It's highly recommended to check `GSoC Frequently Asked Questions 
+in GSoC 2025 with `BeagleBoard.org <www.beagleboard.org>`_. It's highly recommended to check `GSoC Frequently Asked Questions 
 <https://developers.google.com/open-source/gsoc/faq>`_. For anyone who just want to contribute to this site we also have 
 a step by step :ref:`contribution guide <gsoc-site-editing-guide>`.
 

guides/mentor.rst

@@ -14,7 +14,7 @@ Mentor Guide
     become familiar with the code base and testing practices, to finally releasing their code on
     `OpenBeagle <https://openbeagle.org/>`_ for the world to use!
 
-    You will also need be invited by an administrator to register on the GSoC site and request
+    You will also need to be invited by an administrator to register on the GSoC site and request
     to be a mentor for `BeagleBoard.org <https://www.beagleboard.org/>`_.
 
 Who Are Mentors?
@@ -25,7 +25,7 @@ with a GSoC contributor. Mentors provide guidance such as pointers to useful doc
 In addition to providing GSoC contributors with feedback and pointers, a mentor acts as an ambassador to help
 GSoC contributors integrate into their project’s community. `BeagleBoard.org <https://www.beagleboard.org/>`_
 always assigns more than one mentor to each of GSoC contributor. Many members of `BeagleBoard.org <https://www.
-beagleboard.org/>`_ community also provide guidance to GSoC contributors without mentoring in an “official”
+beagleboard.org/>`_ community also provides guidance to GSoC contributors without mentoring in an “official”
 capacity, as much as they would answer anyone’s questions on our `Discord <https://bbb.io/gsocchat>`_ and our
 `Forum <https://bbb.io/gsocml>`_.
 
@@ -34,7 +34,7 @@ Idea Submission Process
 
 Mentors should:
 
-1. Submit projects ideas to our `Forum <https://bbb.io/gsocml>`_ and then
+1. Submit project ideas to our `Forum <https://bbb.io/gsocml>`_ and then
 2. Contribute an update to our :ref:`gsoc-project-ideas` page using our :ref:`gsoc-site-editing-guide` to promote their idea to contributors.
 
 Only ideas deemed by administrators as being sufficiently supported by qualified mentors will be merged.
@@ -44,11 +44,11 @@ Only ideas deemed by administrators as being sufficiently supported by qualified
     BeagleBoard.org mentored GSoC projects are supposed to be for software projects that service the Beagle and general open source
     embedded systems community, not theses, how-to guides or what I did over my summer vacation ideas.
 
-Prospective mentors, sudents will use our `Discord <https://bbb.io/gsocchat>`_ and `Forum <https://bbb.io/gsocml>`_
+Prospective mentors, students will use our `Discord <https://bbb.io/gsocchat>`_ and `Forum <https://bbb.io/gsocml>`_
 to make contact with you, so be sure to provide up-to-date information. Please feel free to add yourself on mentors page and we will monitor
 and police that list. Acceptance as an official mentor with the ability to rate proposals and grade contributors will come via the Google system.
 We will only approve official mentors who have a proven track record with Beagle, but welcome all community members to provide guidance to both
-mentors and contributors to best service the community as a whole. Don’t be shy and don’t be offended when we edit. We are thrilled to have you on-board!
+mentors and contributors to best serve the community as a whole. Don’t be shy, and don’t be offended when we edit. We are thrilled to have you on board!
 
 
 

ideas/index.rst

@@ -28,30 +28,31 @@ Ideas
    | :bdg-info:`Low complexity`         | :bdg-info-line:`90 hours`     |
    +------------------------------------+-------------------------------+
 
-.. card:: Low-latency I/O RISC-V CPU core in FPGA fabric
+.. tip::
+   
+   Below are the latest project ideas, you can also check our our :ref:`gsoc-old-ideas` and :ref:`Past_Projects` for inspiration.
 
-   :fas:`microchip;pst-color-primary` FPGA gateware improvements :bdg-success:`Medium complexity` :bdg-success-line:`175 hours`
+.. card:: A Conversational AI Assistant for BeagleBoard using RAG and Fine-tuning
 
-   ^^^^
+   :fas:`brain;pst-color-secondary` Deep Learning :bdg-success:`Medium complexity` :bdg-success-line:`175 hours`
 
-   BeagleV-Fire features RISC-V 64-bit CPU cores and FPGA fabric. In that FPGA fabric, we'd like to
-   implement a RISC-V 32-bit CPU core with operations optimized for low-latency GPIO. This is similar
-   to the programmable real-time unit (PRU) RISC cores popularized on BeagleBone Black.
+   ^^^^
 
-   | **Goal:** RISC-V-based CPU on BeagleV-Fire FPGA fabric with GPIO
-   | **Hardware Skills:** Verilog, Verification, FPGA
-   | **Software Skills:** RISC-V ISA, assembly, `Linux`_
-   | **Possible Mentors:** `Cyril Jean <https://forum.beagleboard.org/u/vauban>`_, `Jason Kridner <https://forum.beagleboard.org/u/jkridner>`_
+   BeagleBoard currently lacks an AI-powered assistant to help users troubleshoot errors. This project aims to address that need while also streamlining the onboarding process for new contributors, enabling them to get started more quickly.
 
+   | **Goal:** Develop a domain-specific chatbot for BeagleBoard using a combination of RAG and fine-tuning of an open-source LLM (like Llama 3, Mixtral, or Gemma).  This chatbot will assist users with troubleshooting, provide information about BeagleBoard products, and streamline the onboarding process for new contributors.
+   | **Hardware Skills:** Ability to test applications on BeagleBone AI-64/BeagleY-AI and optimize for performance using quantization techniques.
+   | **Software Skills:** Python, RAG, Scraping techniques, Fine tuning LLMs, Gradio, Hugging Face Inference Endpoints, NLTK/spaCy, Git
+   | **Possible Mentors:** `Aryan Nanda <https://forum.beagleboard.org/u/aryan_nanda/>`_
+   
    ++++
 
-   .. button-link:: https://forum.beagleboard.org/t/low-latency-risc-v-i-o-cpu-core/37156
+   .. button-link:: https://forum.beagleboard.org/t/beaglemind/40806
       :color: danger
       :expand:
 
       :fab:`discourse;pst-color-light` Discuss on forum
 
-
 .. card:: Update beagle-tester for mainline testing
 
    :fab:`linux;pst-color-primary` Linux kernel improvements :bdg-success:`Medium complexity` :bdg-danger-line:`350 hours`
@@ -63,8 +64,8 @@ Ideas
    and device-tree overlays on various Beagle computers.
 
    | **Goal:** Execution on Beagle test farm with over 30 mikroBUS boards testing all mikroBUS enabled cape interfaces (PWM, ADC, UART, I2C, SPI, GPIO and interrupt) performing weekly mainline Linux regression verification
-   | **Hardware Skills:** basic wiring, familiarity with embedded serial interfaces
-   | **Software Skills:** device-tree, `Linux`_, `C`_, continuous integration with GitLab, Buildroot
+   | **Hardware Skills:** `basic wiring`_, `embedded serial interfaces`_
+   | **Software Skills:** `device-tree`_, `Linux`_, `C`_, `OpenBeagle CI`_, `Buildroot`_
    | **Possible Mentors:** `Deepak Khatri <https://forum.beagleboard.org/u/lorforlinux>`_, `Anuj Deshpande <https://forum.beagleboard.org/u/Anuj_Deshpande>`_, `Dhruva Gole <https://forum.beagleboard.org/u/dhruvag2000>`_
 
    ++++
@@ -86,7 +87,7 @@ Ideas
    acceptable upstream.
 
    | **Goal:** Add functional gaps, submit upstream patches for these drivers and respond to feedback
-   | **Hardware Skills:** Familiarity with wireless communication
+   | **Hardware Skills:** `wireless communications`_
    | **Software Skills:** `C`_, `Linux`_
    | **Possible Mentors:** `Ayush Singh <https://forum.beagleboard.org/u/ayush1325>`_, `Jason Kridner <https://forum.beagleboard.org/u/jkridner>`_
 
@@ -108,7 +109,7 @@ Ideas
    needs to be cleaned up. We can also work on support for Raspberry Pi if UCSD releases their Hat for it.
 
    | **Goal:** Update librobotcontrol for Robotics Cape on BeagleBone AI, BeagleBone AI-64 and BeagleV-Fire
-   | **Hardware Skills:** Basic wiring, some DC motor familiarity
+   | **Hardware Skills:** `basic wiring`_, `motors`_
    | **Software Skills:** `C`_, `Linux`_
    | **Possible Mentors:** `Deepak Khatri <https://forum.beagleboard.org/u/lorforlinux>`_, `Jason Kridner <https://forum.beagleboard.org/u/jkridner>`_
    
@@ -122,7 +123,7 @@ Ideas
 
 .. card:: Upstream Zephyr Support on BBAI-64 R5
 
-   :fas:`timeline;pst-color-secondary` RTOS/microkernel imporvements :bdg-success:`Medium complexity` :bdg-success-line:`350 hours`
+   :fas:`timeline;pst-color-secondary` RTOS/microkernel imporvements :bdg-success:`Medium complexity` :bdg-danger-line:`350 hours`
    
    ^^^^
 
@@ -143,26 +144,9 @@ Ideas
 
       :fab:`discourse;pst-color-light` Discuss on forum
 
-.. card:: Enhanced Media Experience with AI-Powered Commercial Detection and Replacement
 
-   :fas:`brain;pst-color-secondary` Deep Learning :bdg-success:`Medium complexity` :bdg-success-line:`350 hours`
-   
-   ^^^^
 
-   Leveraging the capabilities of BeagleBoard’s powerful processing units, the project will focus on creating a real-time, efficient solution that enhances media consumption experiences by seamlessly integrating custom audio streams during commercial breaks.
 
-   | **Goal:** Build a deep learning model, training data set, training scripts, and a runtime for detection and modification of the video stream.
-   | **Hardware Skills:** Ability to capture and display video streams using `Beagleboard ai-64 <https://www.beagleboard.org/boards/beaglebone-ai-64>`_
-   | **Software Skills:** `Python <https://www.python.org/>`_, `TensorFlow <https://www.tensorflow.org/>`_, `TFlite <https://www.tensorflow.org/lite>`_, `Keras <https://www.tensorflow.org/guide/keras>`_, `GStreamer <https://gstreamer.freedesktop.org/>`_, `OpenCV <https://opencv.org/>`_
-   | **Possible Mentors:** `Jason Kridner <https://forum.beagleboard.org/u/jkridner>`_, `Deepak Khatri <https://forum.beagleboard.org/u/lorforlinux>`_
-
-   ++++
-
-   .. button-link:: https://forum.beagleboard.org/t/enhanced-media-experience-with-ai-powered-commercial-detection-and-replacement/37358
-      :color: danger
-      :expand:
-
-      :fab:`discourse;pst-color-light` Discuss on forum
 
 .. button-link:: https://forum.beagleboard.org/tag/gsoc-ideas
    :color: danger
@@ -171,13 +155,7 @@ Ideas
 
    :fab:`discourse;pst-color-light` Visit our forum to see newer ideas being discussed!
 
+.. toctree::
+   :hidden:
 
-.. tip::
-   
+   old/index
\ No newline at end of file
-   You can also check our our :ref:`gsoc-old-ideas` and :ref:`Past_Projects` for inspiration.
-
-.. _Linux:
-   https://docs.beagleboard.org/latest/intro/beagle101/linux.html
-
-.. _C:
-   https://jkridner.beagleboard.io/docs/latest/intro/beagle101/learning-c.html

ideas/old/automation-and-industrial-io.rst

@@ -17,13 +17,15 @@ into professional automation tasks, is strongly desired.
     ^^^^
 
     - **Goal:** Complete implementation of librobotcontrol on BeagleBone AI/AI-64.
-    - **Hardware Skills:** Basic wiring
-    - **Software Skills:** C, Linux
-    - **Possible Mentors:** jkridner, lorforlinux
-    - **Expected Size of Project:** 350 hrs
+    - **Hardware Skills:** `basic wiring`_, `motors`_
+    - **Software Skills:** `C`_, `Linux`_
+    - **Possible Mentors:** `Jason Kridner <https://forum.beagleboard.org/u/jkridner>`_, `Deepak Khatri <https://forum.beagleboard.org/u/lorforlinux>`_ 
+    - **Expected Size of Project:** 175 hrs
     - **Rating:** Medium
-    - **Upstream Repository:** https://github.com/jadonk/librobotcontrol/tree/bbai
-    - **References:** 
+    - **Upstream Repository:** `BeagleBoard.org / librobotcontrol · GitLab <https://openbeagle.org/beagleboard/librobotcontrol>`_
+    - **References:**
+        - `Robotics Control Library — BeagleBoard Documentation <https://docs.beagle.cc/projects/librobotcontrol/docs/index.html>`_
+        - `Robot Control Library: Main Page <https://old.beagleboard.org/static/librobotcontrol/>`_
         - http://www.strawsondesign.com/docs/librobotcontrol/index.html
 
     ++++

ideas/old/deep-learning.rst

@@ -14,6 +14,48 @@ For some background, be sure to check out `simplify embedded edge AI development
 <https://e2e.ti.com/blogs_/b/process/posts/simplify-embedded-edge-ai-development>`_ 
 post from TI.
 
+.. card:: Enhanced Media Experience with AI-Powered Commercial Detection and Replacement
+
+   :fas:`brain;pst-color-secondary` Deep Learning :bdg-success:`Medium complexity` :bdg-danger-line:`350 hours`
+   
+   ^^^^
+
+   Leveraging the capabilities of BeagleBoard’s powerful processing units, the project will focus on creating a real-time, efficient solution that enhances media consumption experiences by seamlessly integrating custom audio streams during commercial breaks.
+
+   | **Goal:** Build a deep learning model, training data set, training scripts, and a runtime for detection and modification of the video stream.
+   | **Hardware Skills:** Ability to capture and display video streams using `BeagleBone AI-64 <https://www.beagleboard.org/boards/beaglebone-ai-64>`_
+   | **Software Skills:** `Python <https://www.python.org/>`_, `TensorFlow <https://www.tensorflow.org/>`_, `TFlite <https://www.tensorflow.org/lite>`_, `Keras <https://www.tensorflow.org/guide/keras>`_, `GStreamer <https://gstreamer.freedesktop.org/>`_, `OpenCV <https://opencv.org/>`_
+   | **Possible Mentors:** `Jason Kridner <https://forum.beagleboard.org/u/jkridner>`_, `Deepak Khatri <https://forum.beagleboard.org/u/lorforlinux>`_
+
+   ++++
+
+   .. button-link:: https://forum.beagleboard.org/t/enhanced-media-experience-with-ai-powered-commercial-detection-and-replacement/37358
+    :color: danger
+    :expand:
+
+    :fab:`discourse;pst-color-light` Discuss on forum
+
+.. card:: Embedded differentiable logic gate networks for real-time interactive and creative applications
+
+   :fas:`brain;pst-color-secondary` Creative AI :bdg-success:`Medium complexity` :bdg-danger-line:`350 hours`
+   
+   ^^^^
+
+   This project seeks to explore the potential of creative embedded AI, specifically using `Differentiable Logic (DiffLogic) <https://github.com/Felix-Petersen/difflogic>`_, by creating a system that can perform tasks like machine listening, sensor processing, sound and gesture classification, and generative AI.
+
+   | **Goal:** Develop an embedded machine learning system on BeagleBone that leverages `Differentiable Logic (DiffLogic) <https://github.com/Felix-Petersen/difflogic>`_ for real-time interactive music creation and environment sensing. 
+   | **Hardware Skills:** Audio and sensor IO with `Bela.io <http://bela.io>`_
+   | **Software Skills:** Machine learning, deep learning, BeagleBone Programmable Real Time Unit (PRU) programming (see `PRU Cookbook <https://docs.beagleboard.org/latest/books/pru-cookbook/index.html>`_).
+   | **Possible Mentors:** `Jack Armitage <https://forum.beagleboard.org/u/jarm>`_, `Chris Kiefer <https://forum.beagleboard.org/u/luuma>`_
+
+   ++++
+
+   .. button-link:: https://forum.beagleboard.org/t/embedded-differentiable-logic-gate-networks-for-real-time-interactive-and-creative-applications/37768
+      :color: danger
+      :expand:
+
+      :fab:`discourse;pst-color-light` Discuss on forum
+
 .. card:: 
 
     :fas:`brain;pst-color-secondary` **YOLO models on the X15/AI-64**

ideas/old/fpga-projects.rst

@@ -3,6 +3,29 @@
 FPGA based projects
 ####################
 
+.. card:: Low-latency I/O RISC-V CPU core in FPGA fabric
+
+   :fas:`microchip;pst-color-primary` FPGA gateware improvements :bdg-success:`Medium complexity` :bdg-success-line:`175 hours`
+
+   ^^^^
+
+   BeagleV-Fire features RISC-V 64-bit CPU cores and FPGA fabric. In that FPGA fabric, we'd like to
+   implement a RISC-V 32-bit CPU core with operations optimized for low-latency GPIO. This is similar
+   to the programmable real-time unit (PRU) RISC cores popularized on BeagleBone Black.
+
+   | **Goal:** RISC-V-based CPU on BeagleV-Fire FPGA fabric with GPIO
+   | **Hardware Skills:** `Verilog`_, `verification`_, `FPGA`_
+   | **Software Skills:** `RISC-V ISA`_, `assembly`_, `Linux`_
+   | **Possible Mentors:** `Cyril Jean <https://forum.beagleboard.org/u/vauban>`_, `Jason Kridner <https://forum.beagleboard.org/u/jkridner>`_
+
+   ++++
+
+   .. button-link:: https://forum.beagleboard.org/t/low-latency-risc-v-i-o-cpu-core/37156
+      :color: danger
+      :expand:
+
+      :fab:`discourse;pst-color-light` Discuss on forum
+      
 .. card:: 
 
     :fas:`microchip;pst-color-secondary` **RISC-V Based PRU on FPGA**

ideas/old/index.rst

-:orphan:
-
 .. _gsoc-old-ideas:
 
 Old GSoC Ideas

projects/2024.rst

+.. _gsoc-2024-projects:
+
+:far:`calendar-days` 2024
+##########################
+
+
+.. note:: Only 3 out of 4 :ref:`accepted students <gsoc-2024-proposals>` were able to complete the program in 2024.
+
+Enhanced Media Experience with AI-Powered Commercial Detection and Replacement
+********************************************************************************
+
+.. youtube:: Kagg8JycOfo
+   :width: 100%
+
+| **Summary:** Leveraging the capabilities of BeagleBoard’s powerful processing units, the project will focus on creating a real-time, efficient solution that enhances media consumption experiences by seamlessly integrating custom audio streams during commercial breaks.
+
+- Develop a neural network model: Combine Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to analyze video and audio data, accurately identifying commercial segments within video streams.
+- Implement a real-time pipeline: Create a real-time pipeline for BeagleBoard that utilizes the trained model to detect commercials in real-time and replace them with alternative content or obfuscate them, alongside replacing the audio with predefined streams.
+- Optimize for BeagleBoard: Ensure the entire system is optimized for real-time performance on BeagleBoard hardware, taking into account its unique computational capabilities and constraints.
+
+
+**Contributor:** Aryan Nanda
+
+**Mentors:** `Jason Kridner <https://forum.beagleboard.org/u/jkridner>`_, `Deepak Khatri <https://forum.beagleboard.org/u/lorforlinux>`_, Kumar Abhishek
+
+.. grid:: 2 2 2 2
+
+   .. grid-item::
+
+      .. button-link:: https://summerofcode.withgoogle.com/archive/2024/projects/UOX7iDEU
+         :color: info
+         :shadow:
+         :expand:
+
+         :fab:`google;pst-color-light` - GSoC Registry
+   
+   .. grid-item::
+
+      .. button-ref:: gsoc-2024-proposal-aryan-nanda
+         :color: primary
+         :shadow:
+         :expand:
+
+         Proposal
+
+
+Low-latency I/O RISC-V CPU core in FPGA fabric
+************************************************
+
+.. youtube:: ic0RRK6d3hg
+  :width: 100%
+
+| **Summary:** Implementation of PRU subsystem on BeagleV-Fire’s FPGA fabric, resulting in a real-time microcontroller system working alongside the main CPU, providing low-latency access to I/O.
+
+**Contributor:** Atharva Kashalkar
+
+**Mentors:** `Cyril Jean <https://forum.beagleboard.org/u/vauban>`_, `Jason Kridner <https://forum.beagleboard.org/u/jkridner>`_, Vedant Paranjape, Kumar Abhishek
+
+.. grid:: 2 2 2 2
+
+   .. grid-item::
+
+      .. button-link:: https://summerofcode.withgoogle.com/archive/2024/projects/KjUoFlg2
+         :color: info
+         :shadow:
+         :expand:
+
+         :fab:`google;pst-color-light` - GSoC Registry
+   
+   .. grid-item::
+
+      .. button-ref:: gsoc-2024-proposal-roger18
+         :color: primary
+         :shadow:
+         :expand:
+
+         Proposal
+
+Differentiable Logic for Interactive Systems and Generative Music - Ian Clester
+********************************************************************************
+
+.. youtube:: NvHxMCF8sAQ
+  :width: 100%
+
+| **Summary:** Developing an embedded machine learning system on BeagleBoard that leverages Differentiable Logic (DiffLogic) for real-time interactive music creation and environment sensing. The system will enable on-device learning, fine-tuning, and efficient processing for applications in new interfaces for musical expression.
+
+**Contributor:** Ian Clester
+
+**Mentors:** `Jack Armitage <https://forum.beagleboard.org/u/jarm/summary>`_, Chris Kiefer
+
+.. grid:: 2 2 2 2
+
+   .. grid-item::
+
+      .. button-link:: https://summerofcode.withgoogle.com/archive/2024/projects/FBk0MM8g
+         :color: info
+         :shadow:
+         :expand:
+
+         :fab:`google;pst-color-light` - GSoC Registry
+   
+   .. grid-item::
+
+      .. button-ref:: gsoc-2024-proposal-ijc
+         :color: primary
+         :shadow:
+         :expand:
+
+         Proposal
\ No newline at end of file

projects/index.rst

@@ -14,6 +14,11 @@ GSoC over the previous years is given in the section that follows.
     :margin: 4 4 0 0 
     :gutter: 4
 
+    .. grid-item-card:: :far:`calendar-days` 2024
+        :text-align: center
+        :link: gsoc-2024-projects
+        :link-type: ref
+
     .. grid-item-card:: :far:`calendar-days` 2023
         :text-align: center
         :link: gsoc-2023-projects
@@ -83,6 +88,7 @@ GSoC over the previous years is given in the section that follows.
     :maxdepth: 1
     :hidden:
 
+    2024
     2023
     2022
     2021