Huawei Watch GT 4 for Women 41MM Stainless Steel

Original price was: ₨99,999.00.Current price is: ₨59,999.00.

FASHION and TECHNOLOGY MEETS. GT4 Watch has been created with an elegant aesthetic design powerful battery life and +100 accurate sports modes so you can keep everything on track in your daily life
SCIENCE-BASED CALORIE MANAGEMENT. The new Stay Fit app helps you keep track of how many calories you are consuming with real-time calorie intake, active calories, resting calories, and calorie deficit
STRONG HEALTH MONITORING. Keep track of your health with HUAWEI TruSeen 5.5+ Heart Rate Monitoring, SpO2, TruSleep 3.0, Sleep Breathing, stress monitoring, and the new Pulse Wave Arrhythmia Analysis
COMPATIBLE WITH iOS ANDROID DEVICES. HUAWEI WATCH GT 4 has been created to be convenient and be used with ease, which is why is compatible with iOS devices and Android devices.
FEMALE HEALTH MANAGEMENT 3.0. Get estimated period, ovulation, and fertile times at just a glance, which are based on high-level physiological data and a deep-learning algorithm

Out of stock

Huawei Watch GT 4 for Women 41MM Stainless Steel in Pakistan.

- FASHION and TECHNOLOGY MEETS. GT4 Watch has been created with an elegant aesthetic design powerful battery life and +100 accurate sports modes so you can keep everything on track in your daily life
- SCIENCE-BASED CALORIE MANAGEMENT. The new Stay Fit app helps you keep track of how many calories you are consuming with real-time calorie intake, active calories, resting calories, and calorie deficit
- STRONG HEALTH MONITORING. Keep track of your health with HUAWEI TruSeen 5.5+ Heart Rate Monitoring, SpO2, TruSleep 3.0, Sleep Breathing, stress monitoring, and the new Pulse Wave Arrhythmia Analysis
- COMPATIBLE WITH iOS ANDROID DEVICES. HUAWEI WATCH GT 4 has been created to be convenient and be used with ease, which is why is compatible with iOS devices and Android devices.
- FEMALE HEALTH MANAGEMENT 3.0. Get estimated periods, ovulation, and fertile times at just a glance, which are based on high-level physiological data and a deep-learning algorithm.