diff options
| author | listout <listout@protonmail.com> | 2021-08-18 15:34:58 +0530 |
|---|---|---|
| committer | listout <listout@protonmail.com> | 2021-08-18 15:34:58 +0530 |
| commit | 9231c0fd70479c841bb999f8f3bac9a7559b0fd8 (patch) | |
| tree | 315927b70d2626466c0235f3f72d633e01a92bbd /resume.tex | |
| parent | 76dbdbab31f26121a917ff8db63c3dc1f6caf311 (diff) | |
added rtos project
Diffstat (limited to 'resume.tex')
| -rw-r--r-- | resume.tex | 23 |
1 files changed, 12 insertions, 11 deletions
@@ -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 |