Rice is a staple crop worldwide, with seed traits such as size, shape, weight, and color playing crucial roles in agricultural productivity and consumer preferences. Despite significant progress, the genetic basis underlying the variation in hulled and unhulled seed grain traits remains partially unexplored. This study presents a comprehensive analysis combining GWAS and QTL mapping to dissect the genetic architecture of hulled and unhulled seed characteristics in rice. The aim is to identify quantitative trait loci (QTLs) associated with these traits using an integration of multi-model approach genome-wide association studies (GWAS) and linkage mapping analysis. The study analyzed 244 local rice varieties for GWAS and 90 Recombinant Inbred Lines for linkage mapping analysis. The traits observed included hulled and unhulled seed grain area, perimeter, length, width, length-to-width ratio, circularity, weight, and color (RGB, HSV, Lab, yCbCr). A total of 23 QTL regions were identified, with two major QTL hotspots located on chromosomes 7 and 2. Specifically, QTL hotspots on chromosome 7 were associated with grain size, shape, and weight, while those on chromosome 2 were linked to seed color. A total of 530 SNPs significantly associated with the traits were distributed across 12 rice chromosomes, corroborating the QTL hotspot regions. Six genes on chromosome 7 and seven genes on chromosome 2 were proposed as candidate genes regulating seed grain traits. These findings provide valuable insights into the genetic control of rice seed traits and offer potential targets for breeding programs aimed at improving rice quality and yield.