Doormile/doormile_backend
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

agentic mode

Browse Source
This commit is contained in:
Suriya
2026-06-30 12:03:04 +05:30
parent 7c55b523af
commit bd6427f5db
8 changed files with 271 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

5
scratch/icon_class.svg Normal file
View File

@@ -0,0 +1,5 @@
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="#ffffff" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
<rect x="3" y="3" width="18" height="18" rx="2" ry="2"></rect>
<line x1="3" y1="9" x2="21" y2="9"></line>
<line x1="9" y1="21" x2="9" y2="9"></line>
</svg>
Side by Side

After

Width:  |  Height:  |  Size: 316 B

3
scratch/icon_data.svg Normal file
View File

@@ -0,0 +1,3 @@
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="#ffffff" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
<polygon points="22 3 2 3 10 12.46 10 19 14 21 14 12.46 22 3"></polygon>
</svg>
Side by Side

After

Width:  |  Height:  |  Size: 236 B

5
scratch/icon_decision.svg Normal file
View File

@@ -0,0 +1,5 @@
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="#ffffff" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
<circle cx="12" cy="12" r="10"></circle>
<path d="M12 16v-4"></path>
<path d="M12 8h.01"></path>
</svg>
Side by Side

After

Width:  |  Height:  |  Size: 264 B

141
scratch/pptx_output.txt Normal file
View File

@@ -0,0 +1,141 @@
--- SLIDE 2 ---
Shape 0: AUTO_SHAPE (1) | Text 0 | has_text_frame: True
Text: '02 / MISSION'
Shape 1: AUTO_SHAPE (1) | Text 1 | has_text_frame: True
Text: 'About DoorMile'
Shape 2: AUTO_SHAPE (1) | Text 2 | has_text_frame: True
Text: 'Pioneering the next evolution of logistics through precision engineering and sustainable innovation.'
Shape 3: AUTO_SHAPE (1) | Shape 3 | has_text_frame: True
Text: ''
Shape 4: AUTO_SHAPE (1) | Shape 4 | has_text_frame: True
Text: ''
Shape 5: PICTURE (13) | Image 0 | has_text_frame: False
Picture found
Shape 6: AUTO_SHAPE (1) | Text 5 | has_text_frame: True
Text: 'First Mile Delivery'
Shape 7: AUTO_SHAPE (1) | Text 6 | has_text_frame: True
Text: 'Seamless integration from manufacturing to hub.'
Shape 8: AUTO_SHAPE (1) | Shape 7 | has_text_frame: True
Text: ''
Shape 9: AUTO_SHAPE (1) | Shape 8 | has_text_frame: True
Text: ''
Shape 10: PICTURE (13) | Image 1 | has_text_frame: False
Picture found
Shape 11: AUTO_SHAPE (1) | Text 9 | has_text_frame: True
Text: 'Mid Mile Transportation'
Shape 12: AUTO_SHAPE (1) | Text 10 | has_text_frame: True
Text: 'Optimized transit between strategic distribution nodes.'
Shape 13: AUTO_SHAPE (1) | Shape 11 | has_text_frame: True
Text: ''
Shape 14: AUTO_SHAPE (1) | Shape 12 | has_text_frame: True
Text: ''
Shape 15: PICTURE (13) | Image 2 | has_text_frame: False
Picture found
Shape 16: AUTO_SHAPE (1) | Text 13 | has_text_frame: True
Text: 'Last Mile Delivery'
Shape 17: AUTO_SHAPE (1) | Text 14 | has_text_frame: True
Text: 'Hyper-local fulfillment with surgical precision.'
Shape 18: AUTO_SHAPE (1) | Shape 15 | has_text_frame: True
Text: ''
Shape 19: AUTO_SHAPE (1) | Shape 16 | has_text_frame: True
Text: ''
Shape 20: PICTURE (13) | Image 3 | has_text_frame: False
Picture found
Shape 21: AUTO_SHAPE (1) | Text 17 | has_text_frame: True
Text: 'EV Native Logistics'
Shape 22: AUTO_SHAPE (1) | Text 18 | has_text_frame: True
Text: 'Zero-emission fleet operations by design.'
Shape 23: AUTO_SHAPE (1) | Shape 19 | has_text_frame: True
Text: ''
Shape 24: AUTO_SHAPE (1) | Shape 20 | has_text_frame: True
Text: ''
Shape 25: PICTURE (13) | Image 4 | has_text_frame: False
Picture found
Shape 26: AUTO_SHAPE (1) | Text 21 | has_text_frame: True
Text: 'AI Driven Operations'
Shape 27: AUTO_SHAPE (1) | Text 22 | has_text_frame: True
Text: 'Self-healing supply chains powered by neural networks.'
Shape 28: AUTO_SHAPE (1) | Shape 23 | has_text_frame: True
Text: ''
Shape 29: AUTO_SHAPE (1) | Text 24 | has_text_frame: True
Text: 'Goal: Create an intelligent and efficient logistics ecosystem.'
Shape 30: PICTURE (13) | Image 5 | has_text_frame: False
Picture found
Shape 31: AUTO_SHAPE (1) | Shape 25 | has_text_frame: True
Text: ''
Shape 32: AUTO_SHAPE (1) | Shape 26 | has_text_frame: True
Text: ''
Shape 33: AUTO_SHAPE (1) | Text 27 | has_text_frame: True
Text: '● System Operational'
Shape 34: AUTO_SHAPE (1) | Text 28 | has_text_frame: True
Text: 'Visualizing the hyper-connected flow of our Supply Chain.'
Shape 35: AUTO_SHAPE (1) | Shape 29 | has_text_frame: True
Text: ''
Shape 36: AUTO_SHAPE (1) | Text 30 | has_text_frame: True
Text: 'EFFICIENCY +42%'
Shape 37: AUTO_SHAPE (1) | Text 31 | has_text_frame: True
Text: '02/10'
--- SLIDE 7 ---
Shape 0: AUTO_SHAPE (1) | Text 0 | has_text_frame: True
Text: '07 / INNOVATION FRAMEWORK'
Shape 1: AUTO_SHAPE (1) | Text 1 | has_text_frame: True
Text: 'AI Pipeline I Will Work On'
Shape 2: AUTO_SHAPE (1) | Text 2 | has_text_frame: True
Text: 'End-to-end pipeline transforming unstructured global shipping data into actionable real-time decisio'
Shape 3: PICTURE (13) | Image 0 | has_text_frame: False
Picture found
Shape 4: AUTO_SHAPE (1) | Shape 3 | has_text_frame: True
Text: ''
Shape 5: AUTO_SHAPE (1) | Shape 4 | has_text_frame: True
Text: ''
Shape 6: AUTO_SHAPE (1) | Text 5 | has_text_frame: True
Text: 'Classification Algorithms'
Shape 7: AUTO_SHAPE (1) | Text 6 | has_text_frame: True
Text: 'Random Forests, Gradient Boosted Trees, and Neural Networks to categorize delivery status and risk p'
Shape 8: AUTO_SHAPE (1) | Shape 7 | has_text_frame: True
Text: ''
Shape 9: AUTO_SHAPE (1) | Text 8 | has_text_frame: True
Text: 'TENSORFLOW'
Shape 10: AUTO_SHAPE (1) | Shape 9 | has_text_frame: True
Text: ''
Shape 11: AUTO_SHAPE (1) | Text 10 | has_text_frame: True
Text: 'SCIKIT-LEARN'
Shape 12: AUTO_SHAPE (1) | Shape 11 | has_text_frame: True
Text: ''
Shape 13: AUTO_SHAPE (1) | Shape 12 | has_text_frame: True
Text: ''
Shape 14: AUTO_SHAPE (1) | Text 13 | has_text_frame: True
Text: 'Data Preprocessing'
Shape 15: AUTO_SHAPE (1) | Text 14 | has_text_frame: True
Text: 'Automated cleaning cycles handling outlier detection, missing value imputation, and noise filtering '
Shape 16: AUTO_SHAPE (1) | Shape 15 | has_text_frame: True
Text: ''
Shape 17: AUTO_SHAPE (1) | Text 16 | has_text_frame: True
Text: 'PANDAS'
Shape 18: AUTO_SHAPE (1) | Shape 17 | has_text_frame: True
Text: ''
Shape 19: AUTO_SHAPE (1) | Text 18 | has_text_frame: True
Text: 'NUMPY'
Shape 20: AUTO_SHAPE (1) | Shape 19 | has_text_frame: True
Text: ''
Shape 21: AUTO_SHAPE (1) | Shape 20 | has_text_frame: True
Text: ''
Shape 22: AUTO_SHAPE (1) | Text 21 | has_text_frame: True
Text: 'Decision Intelligence'
Shape 23: AUTO_SHAPE (1) | Text 22 | has_text_frame: True
Text: 'Translating model outputs into prescriptive actions, optimizing route efficiency and predictive main'
Shape 24: AUTO_SHAPE (1) | Shape 23 | has_text_frame: True
Text: ''
Shape 25: AUTO_SHAPE (1) | Text 24 | has_text_frame: True
Text: 'PYTORCH'
Shape 26: AUTO_SHAPE (1) | Shape 25 | has_text_frame: True
Text: ''
Shape 27: AUTO_SHAPE (1) | Text 26 | has_text_frame: True
Text: 'FAISS'
Shape 28: AUTO_SHAPE (1) | Shape 27 | has_text_frame: True
Text: ''
Shape 29: AUTO_SHAPE (1) | Text 28 | has_text_frame: True
Text: '● LIVE TELEMETRY — Analyzing over 4.2M data points daily across our global distribution network. '
Shape 30: AUTO_SHAPE (1) | Text 29 | has_text_frame: True
Text: '07/10'

102
scratch/pptx_output_boxes.txt Normal file
View File

@@ -0,0 +1,102 @@
--- SLIDE 2 ---
Shape 0: AUTO_SHAPE (1) | Text 0 | L:365760, T:182880, W:2743200, H:201168
Shape 1: AUTO_SHAPE (1) | Text 1 | L:365760, T:384048, W:5029200, H:502920
Shape 2: AUTO_SHAPE (1) | Text 2 | L:365760, T:896112, W:4937760, H:384048
Shape 3: AUTO_SHAPE (1) | Shape 3 | L:365760, T:1371600, W:4937760, H:585216
Shape 4: AUTO_SHAPE (1) | Shape 4 | L:365760, T:1371600, W:475488, H:585216
Shape 5: PICTURE (13) | Image 0 | L:420624, T:1490472, W:347472, H:347472
Shape 6: AUTO_SHAPE (1) | Text 5 | L:969264, T:1444752, W:4206240, H:219456
Shape 7: AUTO_SHAPE (1) | Text 6 | L:969264, T:1664208, W:4206240, H:219456
Shape 8: AUTO_SHAPE (1) | Shape 7 | L:365760, T:2029968, W:4937760, H:585216
Shape 9: AUTO_SHAPE (1) | Shape 8 | L:365760, T:2029968, W:475488, H:585216
Shape 10: PICTURE (13) | Image 1 | L:420624, T:2148840, W:347472, H:347472
Shape 11: AUTO_SHAPE (1) | Text 9 | L:969264, T:2103120, W:4206240, H:219456
Shape 12: AUTO_SHAPE (1) | Text 10 | L:969264, T:2322576, W:4206240, H:219456
Shape 13: AUTO_SHAPE (1) | Shape 11 | L:365760, T:2688336, W:4937760, H:585216
Shape 14: AUTO_SHAPE (1) | Shape 12 | L:365760, T:2688336, W:475488, H:585216
Shape 15: PICTURE (13) | Image 2 | L:420624, T:2807208, W:347472, H:347472
Shape 16: AUTO_SHAPE (1) | Text 13 | L:969264, T:2761488, W:4206240, H:219456
Shape 17: AUTO_SHAPE (1) | Text 14 | L:969264, T:2980944, W:4206240, H:219456
Shape 18: AUTO_SHAPE (1) | Shape 15 | L:365760, T:3346704, W:4937760, H:585216
Shape 19: AUTO_SHAPE (1) | Shape 16 | L:365760, T:3346704, W:475488, H:585216
Shape 20: PICTURE (13) | Image 3 | L:420624, T:3465576, W:347472, H:347472
Shape 21: AUTO_SHAPE (1) | Text 17 | L:969264, T:3419856, W:4206240, H:219456
Shape 22: AUTO_SHAPE (1) | Text 18 | L:969264, T:3639312, W:4206240, H:219456
Shape 23: AUTO_SHAPE (1) | Shape 19 | L:365760, T:4005072, W:4937760, H:585216
Shape 24: AUTO_SHAPE (1) | Shape 20 | L:365760, T:4005072, W:475488, H:585216
Shape 25: PICTURE (13) | Image 4 | L:420624, T:4123944, W:347472, H:347472
Shape 26: AUTO_SHAPE (1) | Text 21 | L:969264, T:4078224, W:4206240, H:219456
Shape 27: AUTO_SHAPE (1) | Text 22 | L:969264, T:4297680, W:4206240, H:219456
Shape 28: AUTO_SHAPE (1) | Shape 23 | L:365760, T:4709160, W:4937760, H:274320
Shape 29: AUTO_SHAPE (1) | Text 24 | L:365760, T:4709160, W:4937760, H:274320
Shape 30: PICTURE (13) | Image 5 | L:5532120, T:274320, W:3383280, H:4206240
Shape 31: AUTO_SHAPE (1) | Shape 25 | L:5532120, T:274320, W:3383280, H:4206240
Shape 32: AUTO_SHAPE (1) | Shape 26 | L:5623560, T:3657600, W:3200400, H:685800
Shape 33: AUTO_SHAPE (1) | Text 27 | L:5715000, T:3703320, W:3017520, H:201168
Shape 34: AUTO_SHAPE (1) | Text 28 | L:5715000, T:3904488, W:3017520, H:347472
Shape 35: AUTO_SHAPE (1) | Shape 29 | L:8138160, T:274320, W:777240, H:347472
Shape 36: AUTO_SHAPE (1) | Text 30 | L:8138160, T:274320, W:777240, H:347472
Shape 37: AUTO_SHAPE (1) | Text 31 | L:8549640, T:4937760, W:548640, H:164592
--- SLIDE 7 ---
Shape 0: AUTO_SHAPE (1) | Text 0 | L:320040, T:164592, W:4572000, H:201168
Text: '07 / INNOVATION FRAMEWORK'
Shape 1: AUTO_SHAPE (1) | Text 1 | L:320040, T:347472, W:8503920, H:475488
Text: 'AI Pipeline I Will Work On'
Shape 2: AUTO_SHAPE (1) | Text 2 | L:320040, T:804672, W:8229600, H:274320
Text: 'End-to-end pipeline transforming unstructured global shipping data into actionable real-time decisio'
Shape 3: PICTURE (13) | Image 0 | L:320040, T:1188720, W:8503920, H:1143000
Shape 4: AUTO_SHAPE (1) | Shape 3 | L:320040, T:2487168, W:2816352, H:1828800
Text: ''
Shape 5: AUTO_SHAPE (1) | Shape 4 | L:457200, T:2578608, W:228600, H:228600
Text: ''
Shape 6: AUTO_SHAPE (1) | Text 5 | L:777240, T:2542032, W:2240280, H:329184
Text: 'Classification Algorithms'
Shape 7: AUTO_SHAPE (1) | Text 6 | L:457200, T:2926080, W:2578608, H:822960
Text: 'Random Forests, Gradient Boosted Trees, and Neural Networks to categorize delivery status and risk p'
Shape 8: AUTO_SHAPE (1) | Shape 7 | L:457200, T:3840480, W:1188720, H:274320
Text: ''
Shape 9: AUTO_SHAPE (1) | Text 8 | L:457200, T:3840480, W:1188720, H:274320
Text: 'TENSORFLOW'
Shape 10: AUTO_SHAPE (1) | Shape 9 | L:1737360, T:3840480, W:1188720, H:274320
Text: ''
Shape 11: AUTO_SHAPE (1) | Text 10 | L:1737360, T:3840480, W:1188720, H:274320
Text: 'SCIKIT-LEARN'
Shape 12: AUTO_SHAPE (1) | Shape 11 | L:3264408, T:2487168, W:2816352, H:1828800
Text: ''
Shape 13: AUTO_SHAPE (1) | Shape 12 | L:3401568, T:2578608, W:228600, H:228600
Text: ''
Shape 14: AUTO_SHAPE (1) | Text 13 | L:3721608, T:2542032, W:2240280, H:329184
Text: 'Data Preprocessing'
Shape 15: AUTO_SHAPE (1) | Text 14 | L:3401568, T:2926080, W:2578608, H:822960
Text: 'Automated cleaning cycles handling outlier detection, missing value imputation, and noise filtering '
Shape 16: AUTO_SHAPE (1) | Shape 15 | L:3401568, T:3840480, W:1188720, H:274320
Text: ''
Shape 17: AUTO_SHAPE (1) | Text 16 | L:3401568, T:3840480, W:1188720, H:274320
Text: 'PANDAS'
Shape 18: AUTO_SHAPE (1) | Shape 17 | L:4681728, T:3840480, W:1188720, H:274320
Text: ''
Shape 19: AUTO_SHAPE (1) | Text 18 | L:4681728, T:3840480, W:1188720, H:274320
Text: 'NUMPY'
Shape 20: AUTO_SHAPE (1) | Shape 19 | L:6208776, T:2487168, W:2816352, H:1828800
Text: ''
Shape 21: AUTO_SHAPE (1) | Shape 20 | L:6345936, T:2578608, W:228600, H:228600
Text: ''
Shape 22: AUTO_SHAPE (1) | Text 21 | L:6665976, T:2542032, W:2240280, H:329184
Text: 'Decision Intelligence'
Shape 23: AUTO_SHAPE (1) | Text 22 | L:6345936, T:2926080, W:2578608, H:822960
Text: 'Translating model outputs into prescriptive actions, optimizing route efficiency and predictive main'
Shape 24: AUTO_SHAPE (1) | Shape 23 | L:6345936, T:3840480, W:1188720, H:274320
Text: ''
Shape 25: AUTO_SHAPE (1) | Text 24 | L:6345936, T:3840480, W:1188720, H:274320
Text: 'PYTORCH'
Shape 26: AUTO_SHAPE (1) | Shape 25 | L:7626096, T:3840480, W:1188720, H:274320
Text: ''
Shape 27: AUTO_SHAPE (1) | Text 26 | L:7626096, T:3840480, W:1188720, H:274320
Text: 'FAISS'
Shape 28: AUTO_SHAPE (1) | Shape 27 | L:320040, T:4462272, W:8503920, H:502920
Text: ''
Shape 29: AUTO_SHAPE (1) | Text 28 | L:457200, T:4462272, W:8321040, H:502920
Text: '● LIVE TELEMETRY — Analyzing over 4.2M data points daily across our global distribution network. '
Shape 30: AUTO_SHAPE (1) | Text 29 | L:8549640, T:4956048, W:548640, H:164592
Text: '07/10'