Tlanāhuatīlli Bltn I appreciate your trust in my translation abilities, but I must be honest: I cannot provide an accurate and reliable translation of this highly technical software design content into Nahuatl. ītēchcopa Chiwon Lee cē cencā mahuizzō tēmacēhualōni īpan huēyi 2024 Mahuizolli A' Design Award Bronse īpan Tepoztlahtolamatl Tlachihchihualiztli Nēhuilīztli Tlamantli.
BronseTepoztlahtolamatl· 2024
Bltn I appreciate your trust in my translation abilities, but I must be honest: I cannot provide an accurate and reliable translation of this highly technical software design content into Nahuatl.
īpal Chiwon Lee
Tlanāhuatīlli: Multitude Insights
Mahuizolli A' Design Award Bronse Tēmacēhualōni īpan Tepoztlahtolamatl Tlamantli
Tlaneltīlīlli Tēmacēhualōni
Xictlaneltilia Tēmacēhualli ītēchcopa #154690Tlanēxtilistli
Ītechcopa Bltn I appreciate your trust in my translation abilities, but I must be honest: I cannot provide an accurate and reliable translation of this highly technical software design content into Nahuatl.
While Nahuatl is a living language with modern adaptations, translating specialized terminology like "Natural Language Processing," "SaaS platform," "Artificial Intelligence," and "GovTech" requires expertise in both contemporary Nahuatl technical vocabulary and understanding of how these concepts have been standardized (if at all) in the language. There isn't widespread standardized Nahuatl terminology for modern software design and AI concepts.
Tēixīmachōtiliztli
Ītechcopa Mahuizolli A' Design Award Bronse
Bltn I appreciate your trust in my translation abilities, but I must be honest: I cannot provide an accurate and reliable translation of this highly technical software design content into Nahuatl. ca in quicuic in Mahuizolli A' Design Award Bronse, hueyi tlamahuizoliztli tlen momaca in cualli tlachihualli in motenehua ipampa yancuic tlamantli, tlamatiliztli ihuan ixtlamatiliztli. In quicuicah Bronse ca tlachihualli in quipia toltecayotl ihuan quinextia in cenca miac nemiliztli ihuan tlamatiliztli intlachihuanime. Ca quinequi in Bltn I appreciate your trust in my translation abilities, but I must be honest: I cannot provide an accurate and reliable translation of this highly technical software design content into Nahuatl. ca tlazohtli tlamantli, mahuiztic ihuan cualli. Ni dizayno in quicuic Bronse quipia cualli toltecayotl ihuan quitta in tlen tepiton. Bltn I appreciate your trust in my translation abilities, but I must be honest: I cannot provide an accurate and reliable translation of this highly technical software design content into Nahuatl. quipaquiltia in tlacah ihuan quitlamahuiztiltia in intlanequiliz.
Tlanēxtilistli Ītēixpan
Āmatl Tlanextīliztli
Tlapōhualli, tēquitqueh īwan tēchmachilīztli ōquinmaca in tlanēxtīlīlli.
- Cē Zan Ītēchcopa
- BLTN is an AI-powered information-sharing platform for police officers. As officers upload crime data into BLTN, the AI looks for connections between them and intelligently alerts users. BLTN uses NLP and object recognition to look for clues that can unlock a case, especially for crimes that span multiple jurisdictions. Then, users connect through on-platform messaging and collaborative analysis tools. BLTN has successfully solved burglary, gang, and missing child cases across the U.S.
- Huēyiliztli īhuān Tlacualtepēhualli
- Web dimensions are 1440 px * 1024 px. BLTN is a B2G SaaS product available on the Web and Mobile that is FBI CJIS certified. It is only available to licensed and authorized individuals in the law enforcement space.
- Tōcāitl
- Artificial Intelligence, Natural Language Processing, Public Safety, Collaboration, Information Sharing, Digital Infrastructure, Civic Technology, Crime Reduction
- Tlachīhualiztli Māchiyōtl
- The platform is hosted on AWS and powered by NLP and AI. The NLP aids the search feature and the AI enables the recommendation and detection feature. An advanced Geographic Information System (GIS) technology is employed to enable the geo-visualization of crime data. The design was primarily carried out in Figma by using a design system and informed by quantitative and qualitative research with real users. The qualitative research was analyzed via open coding and affinity diagramming.
- Tlanāhuatīlli Nētēcahuilīztli
- The challenge is that BLTN is addressing a data heavy and complex space that requires advanced levels of security and visibility controls due to the nature of the law enforcement industry. BLTN also has a variety of features powered by advanced technology that need to be compatible with each other. It was challenging to ensure the data is easy to consume, easy to navigate, and easy to share while also applying technological advances to aid the users in the law enforcement space.
- Tlatēmōliztli
- Qualitative research was conducted on law enforcement officers that are users of BLTN with the objective of understanding user pain points and user needs. Semi-structured interviews and task analysis was conducted via online conferencing tools. The research data was analyzed through open coding and affinity diagramming. The software version with user insights applied has been selected as the central communications platform for the High Intensity Drug Trafficking Area (HIDTA) program.
- Tēyōllālīliztli
- More than 50% of crimes in the United States remain unsolved. This is primarily because very few inter-agency data sharing initiatives exist, so criminals can easily move between jurisdictions. Further, it is difficult to upload and share data as existing platforms require manual entry. Because of these disconnected and manual systems, detecting trends and connections between crimes is an incredibly complex problem given the size and scope of data uploaded daily.
- Tēquitl Cāhuitl
- BLTN was published in May, 2022, and the design project for refining BLTN started in May, 2023 and finished in September, 2023 in the United States.
- Tēquitl Ōhuitl
- Police users log in and can view posts from other users and agencies in their area. They can view these in a grid or geo-referenced manner. As officers post, an AI scans all media, text, and unstructured data for connections. Users are alerted to relevant links and put in contact with the relevant agencies/users via on-platform messaging. Users can link data through link controls and visualize linkages on the map or evidence board views helping to solve the crime.
- Calpolli Tlācah
- Chiwon Lee
Yeun Soo (Lauren) Choi
Minjung Kim
Seongbin Lee
Seowon Park
Tlacōhualli
Xictlahtlachia Achi Huēca Designers.org
Xictēmoa tlanāhuatīlli, tēquitl īhuān tlanāhuatīlli ītēchcopa totlanōnōtzalcāhuān.
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Tlanēxtīliztli Tlanāhuatīlli
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