• Shivani Kulthe
• Ritul Yadav
• Mugdha Joshi
• Dhanashri Patil

In the year 2020, we all faced a big challenge of covid-19. The WHO announced it as pandemic and we were all forced to shut down and stay indoors. While the frontline workers like doctors, scientists, army officials, police were fighting to stop the spread of this deadly virus. Today, after almost a year we are being threatened by a second wave of covid-19 which is believed to be much more dangerous than the previous virus. In this difficult situation where we are forced to stay at our home, work from home, it has affected our mental health in many ways. Some people find it amusing that we get to stay home but others find it hard, lonely and tiresome. For the mental well-being of people we have proposed this project wherein we analyze the mental state of people in an area. Based on this analysis we give recommendation to the user as to what measures to take in order to stay mentally and emotionally healthy.

sentiment analysis; COVID-19; tweets; machine learning; geo-location; recommendation; dataset;

"Recommendation system using Geo-location based on Sentiment Analysis of Covid-19 Tweets", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.a96-a100, June-2021, Available :http://www.jetir.org/papers/JETIR2106013.pdf

"Recommendation system using Geo-location based on Sentiment Analysis of Covid-19 Tweets", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppa96-a100, June-2021, Available at : http://www.jetir.org/papers/JETIR2106013.pdf