Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
E-Mail AI Enhancer using Ollama. |
| Συγγραφείς: |
Vaishnavi, Pandiri, Charita, Goriparthi, Durgaprasad, Vallepogu |
| Πηγή: |
International Scientific Journal of Engineering & Management; Mar2026, Vol. 5 Issue 3, p1-7, 7p |
| Θεματικοί όροι: |
Privacy, Text summarization, Application program interfaces, JavaScript programming language, Multilingual communication, Application software |
| Περίληψη: |
The project focuses on a chrome extension that uses local AI models that are run by the Ollama to dock Gmail vestments. Through having the entire processing done on the stoner machine and providing detailed summaries in G-mails UI the tool, the stoner data is guaranteed to be protected. It combines pop-up interface and background processes and scripts. The app is developed with JavaScript on the frontend communication, a RESTful API, and based on core Chrome Extension factors. This arrangement is perfect when the sequestration-druggies and professionals want to learn to use their emails speedily without moving any information to cloud systems. The design is consistent with the increased need to use AI results that focus on stoner sequestration, as exhibited by the facility to customize hosts/models, the ability to select a summary style, and the impeccable Gmail comity, straining the promise of the unique AI in daily productivity processes. It is a scalable solution to ultramodern communication problems due to its armature as it can be extended with the capabilities of multilingual summarization or proposed responses with no pain. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
Complementary Index |