YuuTaTaNaKa/EMOBOT
Nov 2024 – Nov 2024
1 Month active
Languages Used
PythonText
Technical Skills
Command ProcessingDocumentationNatural Language ProcessingVoice Command IntegrationVoice Recognition
Suzuki-Eri-code
PROFILE
Suzuki-eri-code
During November 2024, work focused on developing two core features for the YuuTaTaNaKa/EMOBOT repository. The first was a voice-based Japanese greeting command system that processes spoken commands such as おはよう and 終了, responding appropriately and handling unrecognized input with a fallback mechanism. This system was designed with future extensibility in mind, including placeholders for wake and sleep actions. The second feature involved authoring documentation to clarify sentiment score outputs, detailing the positive, neutral, and negative categories and their normalization. The work demonstrated skills in Python, natural language processing, voice command integration, and technical documentation, emphasizing maintainability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
48
Activity Months1
Your Network
16 peopleSame Organization
@chuo.ac.jp6
Shared Repositories
10
shouma0403Member
f23aa023Member
f23ba013Member
f23ba014Member
ryuki0616Member
YuuTaTaNaKaMember
f23ba070Member
f23ba097Member
yu_toMember
Work History
November 2024
4 Commits • 2 Features
Nov 1, 2024November 2024 EMOBOT monthly summary: Delivered two major items: (1) Voice-based Japanese Greeting Command System with listening for おはよう, responding with a greeting, exiting on 終了, and a fallback for unrecognized commands; includes a placeholder for future wake/sleep actions. (2) Sentiment Score Explanation Documentation detailing the three categories (positive, neutral, negative) and how scores (0-1) sum to approximately 1. No major bugs reported this period. Business impact includes improved user engagement through natural language greeting flows and better model interpretability via documentation; groundwork for future wake/sleep controls and more robust command handling. Technologies/skills demonstrated include voice command processing, Japanese language support, NLP-style command design, technical writing, and Git-based collaboration.
4 Commits • 2 Features
Nov 1, 2024November 2024 EMOBOT monthly summary: Delivered two major items: (1) Voice-based Japanese Greeting Command System with listening for おはよう, responding with a greeting, exiting on 終了, and a fallback for unrecognized commands; includes a placeholder for future wake/sleep actions. (2) Sentiment Score Explanation Documentation detailing the three categories (positive, neutral, negative) and how scores (0-1) sum to approximately 1. No major bugs reported this period. Business impact includes improved user engagement through natural language greeting flows and better model interpretability via documentation; groundwork for future wake/sleep controls and more robust command handling. Technologies/skills demonstrated include voice command processing, Japanese language support, NLP-style command design, technical writing, and Git-based collaboration.
November 2024
Activity
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Quality Metrics
Correctness70.0%
Maintainability70.0%
Architecture60.0%
Performance75.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonText
Technical Skills
Command ProcessingDocumentationNatural Language ProcessingVoice Command IntegrationVoice Recognition
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