MUSTAFA
FARAZ

$ python alpr.py --input vehicle.jpg
→ Preprocessing image...
→ Edge detection: Canny(50, 150)
→ Contour extraction: 47 found
→ Plate region: [x:142, y:310, w:280, h:64]
→ OCR Result: ABC-1234
✓ Plate recognized in 0.84s

$ mpirun -np 8 ./heat2d --grid 1024x1024
→ Domain decomposition: 8 partitions
→ OpenMP threads per rank: 4
→ Iteration 1000/5000  Δ=0.00234
→ Iteration 5000/5000  Δ=0.00001
✓ Converged | Time: 2.41s
  Speedup: 6.8x | Efficiency: 85%

$ python los_automation.py
→ Loading raw field data... 2,847 rows
→ Step 1/6: Data ingestion      ✓
→ Step 2/6: Validation          ✓
→ Step 3/6: Transformation      ✓
→ Step 4/6: Computation         ✓
→ Step 5/6: Formatting          ✓
→ Step 6/6: Excel export        ✓
✓ Pipeline complete: 3.2s (was: ~1 month)

class SocialApp : Application() {
  // Firebase + WebRTC Integration
  val auth = FirebaseAuth.getInstance()
  val rtc = PeerConnectionFactory()
 
  fun initVideoCall(peerId: String) {
    val offer = createOffer(constraints)
    signalingChannel.send(offer)
  }
}