diff --git a/recipes/solweig-gpu/meta.yaml b/recipes/solweig-gpu/meta.yaml
new file mode 100644
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+++ b/recipes/solweig-gpu/meta.yaml
@@ -0,0 +1,70 @@
+{% set name = "solweig-gpu" %}
+{% set version = "1.0.1" %}
+#{% set python_min = "3.10" %}
+
+package:
+  name: {{ name }}
+  version: {{ version }}
+
+source:
+  url: https://files.pythonhosted.org/packages/source/{{ name[0] }}/{{ name }}/{{ name.replace('-', '_') }}-{{ version }}.tar.gz
+  sha256: 437b78bae73ba49ac1c7dfeeb8f2176e7f674fabca4450c4c1fc6ccdd93f3b31
+
+build:
+  entry_points:
+    - thermal_comfort = solweig_gpu:thermal_comfort
+  script: {{ PYTHON }} -m pip install . --no-deps -vv
+  number: 0
+  ignore_run_exports:
+    - _openmp_mutex
+  #noarch: python
+
+requirements:
+  host:
+    - python #{{ python_min }}
+    - pip
+    - setuptools
+    - gdal
+
+  run:
+    - python #>={{ python_min }}
+    - pip
+    - numpy
+    - numba
+    - pytorch
+    - scipy
+    - pandas
+    - netcdf4
+    - pytz
+    - shapely
+    - timezonefinder
+    - gdal
+    - xarray
+    - tqdm
+    - pyqt
+
+test:
+  imports:
+    - solweig_gpu
+  commands:
+    - pip check
+    - python -m solweig_gpu.cli --help
+  requires:
+    - python #{{ python_min }}
+    - pip
+
+about:
+  home: https://github.com/nvnsudharsan/SOLWEIG-GPU
+  license: MIT
+  license_file: LICENSE
+  summary: GPU-accelerated SOLWEIG model using PyTorch tensors for urban microclimate simulation
+  description: |
+    SOLWEIG-GPU is a Python package that provides fast, GPU-enabled simulation of urban microclimate conditions using the SOLWEIG model framework.
+
+    The model is built on PyTorch tensors, leveraging GPU acceleration for efficient large-scale urban heat and thermal comfort simulations.
+
+    This package is tested with Python 3.10 and PyTorch. It is recommended to install GDAL from conda-forge before installing the package due to binary compatibility issues.
+
+extra:
+  recipe-maintainers:
+    - nvnsudharsan