You can use the Python library satpy to read AVHRR GAC data:
from satpy import Scene
sc = Scene(filenames=["NSS.GHRR.NJ.D95056.S1116.E1303.B0080506.GC"], reader=["avhrr_l1b_gaclac"])
sc.load(["1", "2", "4", "5", "cloudtop"])
ls = sc.resample("africa")
This will give you a GeoTIFF of the file resampled onto Africa, for channels 1, 2, 4, and 5. It will also give you an RGB Satpy calls "cloudtop", which is a combination of channels 3B, 4, and 5. It will look very different from the true color RGB in your image. You can load the GeoTIFF into standard GIS desktop software. You can also write a variety of other output formats. Check the Satpy documentation for details.
For a full list of RGBs that you can generate with Satpy for AVHRR data, call
sc.available_composite_names() after you have created the Scene object. None of the RGBs will look quite like true color, but
natural_color (if available) comes closest. The
cloudtop RGBs depend on the availability of channels 3A or 3B, which are satellite and solar zenith angle dependent.
There also exists a desktop tool called sift that can be used as a GUI to read any data Satpy can read, in case you are not comfortable with simple programming. SIFT is currently undergoing a major rewrite that includes adding support for polar satellites such as AVHRR, but I don't think the new version has been publicly released yet.