jeffreywallphd/AutoProphet
Nov 2024 – Nov 2024
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
API IntegrationData AnalysisMachine LearningNatural Language ProcessingPythonSpeech Recognition
AishwaryaGade02
PROFILE
Aishwaryagade02
Developed and integrated a stock news text summarization feature for the AutoProphet repository, enabling users to input a stock ticker and receive concise news summaries both as text and through voice interfaces. Leveraging Python and Jupyter Notebook, the solution combined API integration, natural language processing, and web scraping to ingest and process relevant news articles. Speech recognition allowed users to specify company names verbally, while text-to-speech delivered audible summaries, enhancing accessibility and decision speed. The work focused on end-to-end workflow integration without reported bugs, providing a reusable framework for future tickers and improving timely access to actionable stock news insights.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
4,364
Activity Months1
Your Network
69 peopleSame Organization
@mtu.edu33
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Work History
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for jeffreywallphd/AutoProphet: Delivered an end-to-end Stock News Text Summarization feature with text and voice interfaces, enabling ticker-based news ingestion, concise content extraction, and audible delivery. Two commits underpinning the work: 76fad2ab64a16a8bb900e3034aa021c1c9cce884 (text-based summarizer with ticker input) and ab8a2ca3c23ac88375577107d9cdddb9ec099681 (voice input/output integration). Voice interfaces add speech recognition for company names and text-to-speech for reading summaries, all within the existing summarization workflow. No critical bugs reported; the focus was end-to-end feature delivery and integration. This work improves decision speed and accessibility by providing timely, concise stock-news insights directly in AutoProphet.
2 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for jeffreywallphd/AutoProphet: Delivered an end-to-end Stock News Text Summarization feature with text and voice interfaces, enabling ticker-based news ingestion, concise content extraction, and audible delivery. Two commits underpinning the work: 76fad2ab64a16a8bb900e3034aa021c1c9cce884 (text-based summarizer with ticker input) and ab8a2ca3c23ac88375577107d9cdddb9ec099681 (voice input/output integration). Voice interfaces add speech recognition for company names and text-to-speech for reading summaries, all within the existing summarization workflow. No critical bugs reported; the focus was end-to-end feature delivery and integration. This work improves decision speed and accessibility by providing timely, concise stock-news insights directly in AutoProphet.
November 2024
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage85.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
API IntegrationData AnalysisMachine LearningNatural Language ProcessingPythonSpeech RecognitionText-to-SpeechWeb Scraping
Repositories Contributed To
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