From ebcaab5ac03e6b7e9730479b140bfb858230fc24 Mon Sep 17 00:00:00 2001
From: Jason Kridner <jkridner@beagleboard.org>
Date: Mon, 11 Mar 2024 22:40:00 -0400
Subject: [PATCH] ideas: minor cleanup
---
ideas/index.rst | 10 +++++-----
1 file changed, 5 insertions(+), 5 deletions(-)
diff --git a/ideas/index.rst b/ideas/index.rst
index 76cef98..c368486 100644
--- a/ideas/index.rst
+++ b/ideas/index.rst
@@ -39,8 +39,8 @@ Ideas
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`_
+ | **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>`_
++++
@@ -86,7 +86,7 @@ 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 +108,7 @@ 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>`_
@@ -152,7 +152,7 @@ Ideas
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>`_
+ | **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>`_
--
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