Polish dashboard UI to match Mento mockup with IRANSans and brand assets.

Co-authored-by: Cursor <cursoragent@cursor.com>

scripts/cutout_mento_ai.py

@@ -0,0 +1,81 @@
+"""Cut black background only via edge flood-fill — keep black face screen."""
+from collections import deque
+from pathlib import Path
+
+from PIL import Image
+
+src = Path(r"e:\projeha\crm\apps\web\public\brand\Mento-ai.png")
+dst = Path(r"e:\projeha\crm\apps\web\public\brand\mento-ai-avatar.png")
+
+img = Image.open(src).convert("RGBA")
+w, h = img.size
+px = img.load()
+
+def is_bg(r, g, b, a):
+    # near-black background plate (not cyan glow)
+    if a < 10:
+        return True
+    if r < 40 and g < 40 and b < 45:
+        return True
+    if r < 55 and g < 55 and b < 60 and (r + g + b) < 150:
+        # still bg if not cyan-tinted
+        if b < g + 15 and g < r + 15:
+            return True
+    return False
+
+visited = [[False] * w for _ in range(h)]
+q = deque()
+
+# seed from all edge pixels that look like background
+for x in range(w):
+    for y in (0, h - 1):
+        r, g, b, a = px[x, y]
+        if is_bg(r, g, b, a):
+            q.append((x, y))
+            visited[y][x] = True
+for y in range(h):
+    for x in (0, w - 1):
+        if not visited[y][x]:
+            r, g, b, a = px[x, y]
+            if is_bg(r, g, b, a):
+                q.append((x, y))
+                visited[y][x] = True
+
+while q:
+    x, y = q.popleft()
+    px[x, y] = (0, 0, 0, 0)
+    for nx, ny in ((x - 1, y), (x + 1, y), (x, y - 1), (x, y + 1)):
+        if 0 <= nx < w and 0 <= ny < h and not visited[ny][nx]:
+            r, g, b, a = px[nx, ny]
+            if is_bg(r, g, b, a):
+                visited[ny][nx] = True
+                q.append((nx, ny))
+
+bbox = img.getbbox()
+if bbox:
+    pad = 20
+    l, t, r, btm = bbox
+    img = img.crop(
+        (max(0, l - pad), max(0, t - pad), min(w, r + pad), min(h, btm + pad))
+    )
+
+# fit into square canvas keeping aspect
+ow, oh = img.size
+side = max(ow, oh)
+canvas = Image.new("RGBA", (side, side), (0, 0, 0, 0))
+canvas.paste(img, ((side - ow) // 2, (side - oh) // 2))
+canvas = canvas.resize((512, 512), Image.Resampling.LANCZOS)
+canvas.save(dst, "PNG", optimize=True)
+
+# stats
+a = [p[3] for p in canvas.getdata()]
+print(
+    "saved",
+    dst,
+    "zero_a",
+    sum(1 for x in a if x == 0),
+    "corner",
+    canvas.getpixel((0, 0)),
+    "center",
+    canvas.getpixel((256, 256)),
+)