HCLTech_Influenza outbreak prediction

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Inspiration

The idea for FluPred came about after witnessing the devastating impact of influenza outbreaks on communities around the world. I was inspired to develop a solution that could help predict and prevent these outbreaks.

We saw an opportunity to leverage machine learning algorithms and predictive models to analyze large amounts of data from various sources, such as social media, news articles, and health records, to provide accurate and timely predictions of influenza outbreaks. By detecting early warning signs of an outbreak, we could help public health officials and medical professionals take proactive measures to prevent the spread of the virus and ultimately save lives.

What it does

it uses machine learning algorithms to predict whether outbreaks will happen or not in the next week

How we built it

Core technologies used were python and Azure ML

Challenges we ran into

One of the biggest challenges we faced was the integration of multiple data sources, each with its unique format and structure. We had to develop sophisticated data cleaning and processing algorithms to ensure that the data was consistent and accurate.

Time constraints as I had other commitments / getting a new job

Project can be improved to include a web interface

Accomplishments that we're proud of

I got the opportunity to prepare for the PD 900 examination. After completing that examination I would be very valuable for me. I was able to submit a solution for the hackathon Even though I could Relax and enjoy my free time.