- Fairness: This project promotes a more equitable selection process by ensuring all applicants are evaluated on a level playing field.
- Transparency: A standardized evaluation system fosters transparency and increases trust in the recruitment process.
- Meritocracy: The project emphasizes meritocracy by selecting candidates based on their actual knowledge and skills rather than the grading practices of their specific state board.
This project tackles the unfairness caused by varying state board marking schemes in Gramin Dak Seva (GDS) recruitment for 10th-grade applicants. Here's a breakdown of its functionalities by stage:
- State Board Recognition: The system identifies the state board from which the applicant graduated.
- Criteria Mapping: Maps the applicant's state board to its corresponding standardized criteria. This could involve factors like average difficulty level or historical score distributions for different boards
- Adjusted Scores: Based on the mapped criteria, the system adjusts the applicant's raw marks to reflect a national benchmark.
- Internal Assessment Elimination: The system removes any internal marks or grades awarded within a school or district. This ensures external factors like school reputation don't influence eligibility.
- Focus on Standardized Exams: The evaluation solely focuses on scores from standardized external exams conducted by the state board.
- Score Normalization (Optional): This stage might utilize statistical methods to normalize scores across different state boards, accounting for varying difficulty levels.
- Percentile Ranking (Optional): Alternatively, the system could consider percentiles within each state board. This indicates an applicant's relative position within their state, reducing the influence of absolute marks.
- Minimum Eligibility Threshold: A minimum qualifying score based on a national curriculum for the 10th grade could be established. This ensures a baseline level of competency regardless of the state board.
- Standardized Score Generation: The system generates a final standardized score based on the chosen method (normalized score or percentile) or directly uses the minimum eligibility threshold if no normalization is applied.
