I developed this project to ease out the working of my college’s placement cell by performing the following tasks on a Master Database Excel sheet which usually contains over 600+ records:
- Students' placement record Database Parsing which includes:
- Setting homogenity in fields such as Enrollment Numbers, Date of Birth.
- Reducing data redundancy and Duplicacy particularly in contact details.
- Refining Parsed Database based on the company profile:
- Based on the Company's Requirements such as B.Tech %, Backlogs, 12th % etc. , the parsed Database then undergoes a process of sorting and filtering of records.
- The Refined Database is then stored in a [Company_Name].xlsm format in the local directory for easy access later.
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Database Preview: Once the records are refined, user can navigate to the Preview section of the software to take a look at the generated Database.
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Email Notifications to selected/filtered students: User can access the send e-mail section of the software to send E-mails to the students to notify them about interview details from the software itself.
- Python 3
- Pandas
For Dataframe operations.
- Regular Expressions
For Refining Dataframe entries
- Tkinter
Used to bind the complete application into a GUI.
- Upload Window
- Company Profile Window
- Preview Window
- E-mail Window
