Update README.md

README.md

@@ -63,14 +63,6 @@ sees a wall crack, they have three options: pay ₹2,000–8,000 for a civil
 engineer, ask a mason who has a conflict of interest, or Google it and get
 scared. GharScan is the affordable first answer.
 
-## Model
-
-- **Base**: MiniCPM-V 2.0 by OpenBMB (2.8B parameters)
-- **Fine-tuned on**: 14,000+ building defect images (CODEBRIM, CrackSeg9k,
-  SDNET2018, MCrack1300, dacl1k) + India-specific web-scraped images
-- **Runtime**: HuggingFace ZeroGPU (no cloud API — fully offline inference)
-- **GGUF**: Available at `ritvik412/gharscan-minicpm-v2-gguf` for llama.cpp
-
 ## Technical Architecture
 
 | Layer | Technology |
@@ -132,7 +124,7 @@ If you use the GharScan dataset or model:
 ```
 @misc{gharscan2026,
   title  = {GharScan: AI Building Defect Inspector for Indian Residential Properties},
-  author = {ritvik412},
+  author = {ritvik360},
   year   = {2026},
   url    = {https://huggingface.co/spaces/build-small-hackathon/gharscan}
 }