AI/ML HACKATHON 1.0 (HEALTHCARE STATEMENT 3): HEL-3

Daily reports:

• Contains smaple practice data.
• Based on california housing prices & regression models used.

TwitterSentimentalAnalysis:

• Ananlysing tweets related to Covid and particular location.
• Monitoring real-time effect on outbreak prediction model.
• Relevant for targeted regional social drives for public engagement & clustering.

frontend:

• Used technologies: Next.js (primary), Node.js
• Showing real-time predicted data.
• Early alert system integration.

states_data:

• Contains many datasets in comma separated form.
• Contains custom tools for converting .csv files to JSON form.
• Contains regional data in JSON format.
• Contains predictions tools with parallel pipelining style.

LICENSE

• Repositary licensed under MIT 2.0.

package_installer.exe

• Installs required packages for running ML libraries in Python.
• Coded in C.
• Directly interacts with Windows terminal.

reference

• File about how ML can be used to predict Covid spread.