An 8-electrode bioelectrical impedance analysis device demonstrated strong correlation with DEXA scans across body fat percentage (r=0.97), fat mass (r=0.98), and lean mass (r=0.96) in 58 Indian adults. Mean absolute errors were modest: 3.40% for body fat percentage, 1.96 kg for fat mass, and 3.37 kg for lean mass. The device systematically underestimated fat measures while overestimating lean mass by approximately 3 kg. This validation addresses a critical gap for South Asian populations, who exhibit elevated visceral fat and reduced muscle mass at normal BMI levels—making traditional BMI assessments inadequate for obesity risk stratification. The findings support accessible body composition monitoring essential for weight loss interventions, where concurrent fat and lean mass changes require tracking beyond simple scale weight. However, the systematic biases suggest calibration adjustments may be needed for clinical accuracy. As this is a preprint awaiting peer review, these promising results require confirmation through independent replication and larger diverse cohorts before widespread clinical adoption.