Employee Performance Portal
Abstract & Details
Research Area
Computer science and engineering
Keywords
Employee Performance
Machine Learning
Django
Automation
Data Analytics
Abstract
Employee performance management plays a vital role in organizational growth and productivity. Traditional evaluation systems are manual, time-consuming, and often biased. This paper proposes a web-based employee performance portal that integrates machine learning techniques for automated evaluation and prediction. The system uses historical employee data, performance metrics, and behavioral indicators to generate accurate predictions. The integration of Django framework ensures real-time processing and user-friendly interaction. Experimental results show improved accuracy, efficiency, and scalability compared to traditional systems.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | P.Harika | Sphoorthy Engineering College Hyderabad,India |
| 2 | D.Mamatha | Sphoorthy Engineering College Hyderabad,India |
| 3 | K.Bhavani | Sphoorthy Engineering College Hyderabad,India |
| 4 | K.Chandana | Sphoorthy Engineering College Hyderabad,India |
| 5 | V.Sumith | Sphoorthy Engineering College Hyderabad,India |
| 6 | P.Jhansi Rani | Sphoorthy Engineering College Hyderabad,India |
How to Cite
Use the following formats to cite this article in your research.
APA Style
P.Harika, D.Mamatha, K.Bhavani, K.Chandana, V.Sumith, & Rani, P.Jhansi (2026). Employee Performance Portal. International Journal of Advance Research and Innovative Ideas In Education, 12(2), 1325-1336.
MLA Style
P.Harika, et al. "Employee Performance Portal." International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 2, 2026, pp. 1325-1336.
IEEE Style
P.Harika, D.Mamatha, K.Bhavani, K.Chandana, V.Sumith, and P.Jhansi Rani, "Employee Performance Portal," International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 2, pp. 1325-1336, 2026.
Vancouver Style
P.Harika, D.Mamatha, K.Bhavani, K.Chandana, V.Sumith, Rani P.Jhansi. Employee Performance Portal. International Journal of Advance Research and Innovative Ideas In Education. 2026;12(2):1325-1336.
Harvard Style
P.Harika, D.Mamatha, K.Bhavani, K.Chandana, V.Sumith, & Rani, P.Jhansi (2026) 'Employee Performance Portal', International Journal of Advance Research and Innovative Ideas In Education, 12(2), pp. 1325-1336.
Chicago Style
P.Harika, et al. "Employee Performance Portal." International Journal of Advance Research and Innovative Ideas In Education 12, no. 2 (2026): 1325-1336.
Turabian Style
P.Harika, et al. "Employee Performance Portal." International Journal of Advance Research and Innovative Ideas In Education 12, no. 2 (2026): 1325-1336.
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