Project Phoenix

9th Level Software

ଏହି ଆପ୍ ବିଷୟରେ

PROJECT PHOENIX – INDEPENDENT CONTROLLER FOR SMART RESISTANCE PLATFORMS

Keep your smart motorized gym hardware fully powered and functional. This community-driven companion app delivers independent, local control to compatible motor-driven digital weight platforms—ensuring your hardware investment never goes to waste.

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
FULL TRAINING MODES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Constant Load: Pure, linear resistance for standard strength sets

Dynamic Velocity: High-speed cadence and muscle activation focus

Time Under Tension (TUT): Strict tempo-controlled resistance curves

Overload TUT: Maximum-effort adaptive resistance throughout the range

Eccentric Focus: Emphasized negative loading for peak mechanical tension

Adaptive Phase Loading: Intelligent real-time progression matching your output

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ROUTINES & TRAINING CYCLES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Build custom routines from 200+ built-in movements

Superset support with visual tree connectors

Drag-and-drop exercise reordering

Multi-week periodization and structured training cycles

Daily intensity targets and scheduled deload modifiers

Automatic weight and progression tracking

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
REAL-TIME TELEMETRY & TRACKING
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Real-time cable load, velocity, cable position, and power output (watts)

Intelligent rep counting with clear visual feedback

Automatic motor cutoff when rep target or limit is reached

Detailed set summaries with eccentric/concentric phase breakdowns

Integrated RPE (Rate of Perceived Exertion) logging

Persistent display lock during active sets

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ANALYTICS & PROGRESSION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Automatic Personal Record (PR) and peak output detection

Complete offline workout history and logs

Muscle balance radar charts for symmetrical development

Consistency and workout frequency tracking

Volume vs. intensity trend comparisons

Training mode distribution analytics