Predictive-Powerhouses-Hack-Quest-2024

Github Repo of team Predictive Powerhouses for their ML project in the event Hack Quest of Avishkar 2024

                                                          **   THE PPT **
                                                          
           
             [PREDICTIVE POWERHOUSES (1).pdf](https://github.com/MasterLe01/Predictive-Powerhouses-Hack-Quest-2024/files/14650441/PREDICTIVE.POWERHOUSES.1.pdf)
        paste this link to download the ppt: https://github.com/MasterLe01/Predictive-Powerhouses-Hack-Quest-2024/files/14650441/PREDICTIVE.POWERHOUSES.1.pdf

                             **  Linguistic Odyssey  **

The Customer Review ** Sentiment Analysis Model** Since the customer sentiment is pivotal for businesses seeking to enhance user experiences and satisfaction. Customer reviews are valuable, offering insights into their perceptions and feedback. So our teach has developed a model that can classify the feedbacks into Positive, Neutral and Negative.

                           **   KEY FEATURES of Sentiment Analysis **

The Customer Review Sentiment Analysis Model

Interactive GUI Asks users to give the feedback Predicts the Sentiment Gives the classification Report

                                **Market and Future scope of Sentiment Analysis**

                                  ** The Video and the Demonstration **

sentiment.analysis.ipynb.-.Colaboratory.-.Google.Chrome.2024-03-17.12-00-53.1.1.1.mp4

                               **  video showing working of website.**

Website.working.video.mp4

                                  ** The pictures of the website**

                                                **Health Report Summarization Model**

Since reading long health report pdfs can be time consuming and extracting the key features may not possible in a single read. Hence to solve this problem, our team has tried to develop a model to create a concise summaries that capture essential information from the pdf reports, highlighting critical issues.

                                               **   KEY FEATURES of Sentiment Analysis **

1. Provides a summary of lenghty medical report.

2. It helps in: Analyzing critical medical information of a patient and diagnose accurately. Quicker diagnosis without flipping through multiple records. Highlight the symptoms, treatments, and the progress of a patient in a presentable manner. Manage and locate missing medical records of a patient. ** The Video

SUMMARisation.ipynb.-.Colaboratory.-.Google.Chrome.2024-03-19.16-54-38.mp4

and the Demonstration **

                                                ** Market Report for Summarization of Medical Reports **