MU Hiring 2022 Dataset

My team and I got some fuzzfied data sets that we defuzzified and then analysed the data and put our conclusion on a website built with the help of streamlit.

After looking at the data analysis we came up with a business model to be a consulting/analysis company for the organiser which works on SAAS bases

To check the website just clone the repo ,check if you have all the libraries mentioned in requirements.txt and then-: streamlit run app.py

That should lead you to the website

TL;DR

1. Prepare unified student profiles from the activity data provided
   a. Will be validated aganist masked source data
2. Pitch a business solution using analysis of the profiles built
   a. Judged by a panel

General information

• Number of clubs: 3
• Number of fests: 2

Dataset description

• College provided source truth: Metadata
• All club events data: Clubs_data
• All Organizers for fests: Organisers_In_Fests
• Participation list from all fest related events: Participants_In_Fests

Mandatory tech features

1. Streamlit
2. Profile JSON should be submitted before presentation
3. Pluggable format

Sample Profile json format

{
        "Name": "annette ahmed",
        "Id": "18XJ1A0100",
        "Clubs": {
            "club_1": {
                "isOrganiser": "organiser_1",
                "club_1_event_3": {
                    "Participated": false
                }
            },
            "club_3": {
                "isOrganiser": "",
                "club_3_event_1": {
                    "Participated": true
                }
            },
            "club_2": {
                "isOrganiser": "",
                "club_2_event_2": {
                    "Participated": true
                }
            }
        },
        "Fests": {
            "fest_2": {
                "isOrganiser": "organiser_9",
                "fest_2_event_5": {
                    "Participated": true
                }
            },
            "fest_1": {
                "isOrganiser": "organiser_9",
                "fest_1_event_5": {
                    "Participated": true
                }
            }
        }
    }