diff --git a/_posts/2020-08-16-miranda.md b/_posts/2020-08-16-miranda.md deleted file mode 100644 index 94bc26e..0000000 --- a/_posts/2020-08-16-miranda.md +++ /dev/null @@ -1,113 +0,0 @@ ---- -title: MIRANDA -date: "2020-08-16" -categories: - - engineering - - design -layout: post -description: - Your one stop for police stops. An app to counter police - brutality. ---- - -# MIRANDA - -Your one stop for police stops. An app to counter police -brutality. - -## Demo - -[YouTube demo](https://youtu.be/jtJp1VVpyNQ) - -## Inspiration - -As the Black Lives Matter movement becomes more prevalent -and as police brutality case leakings skyrocket, it can be -scary to get pulled over by a police and anticipate what the -interaction will be like. According to the Stanford Open -Policing Project, police officers make more than 50,000 -traffic stops. - -## What our app does - -This is an app that documents and analyses police encounters -using **Machine Learning** to help mitigate negative -interactions with the police. Additionally, 'Miranda' -promotes community policing by alerting nearby users and -family. - -## User Story - -User: Innocent citizen being pulled over by the police - -- When I see the flashing red and blue police lights in my - rear-view mirror, I ask my phone “Hey Siri, I’m being - pulled over.” The App “The one stop for police stops” - opens up and automatically starts recording audio and - video of this scene, streaming it to the cloud for secure - storage. While the phone is recording the scene, my - Constitutional and Miranda Rights are presented clearly on - the app’s screen. -- I can tap a button (or the screen) to send a notification - to my family and local concerned citizens that I’m being - pulled over and may need help interacting with the police - (e.g. recording the incident themselves). -- My incident report (including a transcript, the officer’s - name, and the officer’s license plate) is published - securely. Optionally, this incident can be posted on - Twitter (with location + hashtags) to solicit help from - other folks in the community, especially when there’s - racist or aggressive language involved. - -## How I built it - -- Using **Google’s Speech Synchronous Recognition API**, - audio files longer than 80 minutes can be transcribed - successfully. -- It can also be translated to different languages to fight - police brutality in other countries (HK, a notable one). -- The **NLP model** analyses the sentiments, comes up with a - list of words with saliences attached. Judging from the - relevance/how negative or positive it is, a loved one is - able to encapsulate the situation quicker. -- Auto generates **PDF**. An actual log that went down - during the whole interaction. -- With **Google’s Cloud Vision API**, our dash cam was able - to screen capture the vehicle’s license plate. Printing - each digit carefully into the full report, as a copy for - the victim’s attorney/representative. -- Within Miranda, the app provides a comprehensive **list of - commandments** the user is entitled to. IF the situation - is aggravated, user can conveniently refer to it. -- As a form of protection, the app is designed to be - completely black on the exterior. In case of confiscation, - the user’s data will be saved and a full report will be - ready for review. -- Our speech recognition can also detect screams/words - highly categorized as “danger” — the app will contact the - nearest bystander using a hashtag on twitter. A concept - inspired by **Amber Alert**. -- We also used Twilio API to be able to send texts to - friends and family if the user is in a dangerous situation - -## Challenges I ran into - -Some of us were new to working with APIs, so we had a bit of -figuring out to do, but in the end everything worked -smoothly. - -## Accomplishments that I'm proud of - -We were able to integrate a lot of functionality in a short -amount of time. - -## What's next for MIRANDA - -We plan on expanding and developing some of the -functionalities of the app. For instance, we would like to -integrate **AR/VR** in order to simulate a similar -environment where you are pulled over by a cop and -familiarize yourself with the actions you can take using -this app. We also plan to use **Twitter API** to alert our -community to flock to the location if the interaction is -indicative of police brutality. diff --git a/sitemap.md b/sitemap.md index 0274ca7..03e92cb 100644 --- a/sitemap.md +++ b/sitemap.md @@ -94,7 +94,6 @@ title: "Sitemap" - [`/posts/2020/06/time-analysis/` → Work analysis for Spring 2020](/posts/2020/06/time-analysis/) - [`/posts/2020/06/cactus/` → Cactus](/posts/2020/06/cactus/) - [`/posts/2020/06/tracks/` → Tracks](/posts/2020/06/tracks/) - - [`/posts/2020/08/miranda/` → MIRANDA](/posts/2020/08/miranda/) - [`/posts/2020/10/stanford-khs-connect-dots/` → Stanford Knight-Hennessy Scholars essay (denied)](/posts/2020/10/stanford-khs-connect-dots/) - [`/posts/2020/11/dsl-for-sql/` → Most applications that interface](/posts/2020/11/dsl-for-sql/) - [`/posts/2020/12/stanford-cs-phd-statement/` → "Stanford CS PhD Statement of Purpose (denied)"](/posts/2020/12/stanford-cs-phd-statement/)