AI Based Fortune 500 Twitter Monitoring

Project Scope:

Develop an AI application to monitor Twitter for major incidents at all Fortune 500 companies using the X REST API (Basic plan).

Key Requirements:

•Implement periodic checks every 3 minutes to fetch tweets mentioning Fortune 500 companies and incident-related keywords like 'explosion', 'cyberattack', 'emergency'.

•Utilize X's recent search endpoint for tweet retrieval, staying within the 15,000 reads/month limit.

Technical Skills Needed:

• Proficiency in Python, particularly with libraries like Tweepy for API interaction.

•Experience with Natural Language processing for text analysis and sentiment detection.

Knowledge of database management for storing fetched data securely.

Tasks to Complete:

•Set up a dynamic search query that includes all Fortune 500 companies.

Develop a scheduling system to run searches every 3 minutes.

Implement data analysis to identify relevant incidents.

• Create an alert system for significant findings (e.g., via email, internal dashboard).

Compliance and Security:

• Ensure compliance with X's API usage policies and data privacy laws.

• Implement error handling for API requests, including rate limit management.

Deliverables:

•A fully functional application with source code.

• Documentation on usage, setup, and maintenance.

• A brief guide on how to scale or modify the application for future needs.

Project Timeline:

Looking for completion within 7 days, with regular updates on project progress.

Set up an alert system to send email notifications for significant findings.

Java MySQL PHP Python Softwarearchitektur

Projekt-ID: #38836045

Über das Projekt