From 9231c0fd70479c841bb999f8f3bac9a7559b0fd8 Mon Sep 17 00:00:00 2001
From: listout <listout@protonmail.com>
Date: Wed, 18 Aug 2021 15:34:58 +0530
Subject: added rtos project

---
 resume.pdf | Bin 264648 -> 265056 bytes
 resume.tex |  23 ++++++++++++-----------
 2 files changed, 12 insertions(+), 11 deletions(-)

diff --git a/resume.pdf b/resume.pdf
index 8a22d4a..b2b4c1a 100644
Binary files a/resume.pdf and b/resume.pdf differ
diff --git a/resume.tex b/resume.tex
index e2078d8..f41668b 100644
--- a/resume.tex
+++ b/resume.tex
@@ -111,12 +111,9 @@
 		\end{tabular}
 	\end{table}
 
-	\fontdimen2\font=\origiwspc% (original) inter word space
-
+	\vspace{-1em}
 	\section{Personal Projects}
 
-	%\singlespacing
-
 	\subsection{Interfacing with sonar module using Atmega328p:}
 	Using \textit{AVR C} and \textbf{Atmega328p} to interface with
 	\textbf{HC-SR04} (sonar module). Every functionality is written from scratch
@@ -126,12 +123,10 @@
 	\href{https://gitlab.com/listout/avr_programming/-/tree/sonar_module} {Link
 	to project}.
 
-	\subsection{Brain Tumor Detection:}
-	Using image classification algorithms like \textbf{CNN}, \textbf{VGG 16} and
-	\textbf{ResNet 50} to classify MRI scans of brain to determine if there is
-	presence of tumorous cells or not. Achieved up to \textbf{98\%} accuracy.
-	\href{https://raw.githubusercontent.com/listout/project_paper/paper/paper.pdf}
-	{ \textit{( link to project paper )}  }
+	\subsection{FreeRTOS on ARM STM32F103:}
+	Porting the FreeRTOS to ARM STM32F103C8T6 (Cortex M3) also known as
+	\textbf{Bluepill} . \textit{This project is currently under development,
+	i.e. I'm currently working on it.}
 
 	\subsection{My Compiler Writing Journey:}
 	Following the great \textbf{acwj} while improving and implementing sections
@@ -140,6 +135,13 @@
 	along. (Currently in Progress, only completed till operator precedence)
 	\href{https://gitlab.com/listout/mcwj.git}{Link to project}.
 
+	\subsection{Brain Tumor Detection:}
+	Using image classification algorithms like \textbf{CNN}, \textbf{VGG 16} and
+	\textbf{ResNet 50} to classify MRI scans of brain to determine if there is
+	presence of tumorous cells or not. Achieved up to \textbf{98\%} accuracy.
+	\href{https://raw.githubusercontent.com/listout/project_paper/paper/paper.pdf}
+	{ \textit{( link to project paper )}  }
+
 	\subsection{Python Path Visualizer:}
 	A \textit{path visualizer} program written in \textbf{Pygame}. Upon opening
 	the user can set start and endpoints, and draw wall; and the program will show
@@ -149,7 +151,6 @@
 	\href{https://github.com/listout/python_pathvisualizer.git}{Link to
 	project}.
 
-
 	\section{Open Source Contributions}
 
 	\onehalfspacing
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