📍মতলব উত্তর চাঁদপুর - Matlab Uttar Chandpur | Vlog video | vlog shorts | travel vlog |

Описание: 📝 ᴅᴇsᴄʀɪᴘᴛɪᴏɴ

Welcome to MD Mredul Khalifa! 🎬
Your ultimate destination for funny shorts, lifestyle vlogs, village life stories, viral challenges, reactions, and real-life entertainment.
We create relatable, inspiring, and funny videos that make you smile, relax, and feel connected — from the heart of the village to the buzz of city life.

Whether you love Bangla comedy, village lifestyle vlogs, funny moments, or emotional real-life stories, this channel brings you the best mix of entertainment, humor, and positivity.

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🎥 Story & Edit: [​⁠ MD Mredul Khalifa ​⁠ ]

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Shorts & Full-length descriptions
shorts_desc = """Welcome to the most entertaining mix on YouTube! From funny comedy shorts and ASMR food challenges to tech unboxing, travel vlogs, and real-life stories of justice — everything is here in one place! Watch satisfying ASMR, crazy food challenges, viral pranks, trending tech reviews, relaxing sleep sounds, and motivational knowledge shorts that make you smarter every day."""

full_desc = """Welcome to a world where entertainment meets knowledge! Here you’ll find everything — from law and accident help, food and ASMR challenges, funny comedy videos, travel vlogs, tech unboxing, beauty tutorials, to educational and motivational facts. Every video tells a story that entertains, informs, and inspires."""

Combine both for all-in-one analysis
all_text = shorts_desc + " " + full_desc

Clean text and tokenize
def tokenize(text):
text = re.sub(r"[^a-zA-Z\s]", "", text.lower())
return text.split()

Tokenize texts
shorts_words = tokenize(shorts_desc)
full_words = tokenize(full_desc)
all_words = tokenize(all_text)

Count frequency
shorts_counts = Counter(shorts_words)
full_counts = Counter(full_words)
all_counts = Counter(all_words)

Convert to DataFrames
shorts_df = pd.DataFrame(shorts_counts.items(), columns=["Keyword", "Frequency"]).sort_values(by="Frequency", ascending=False)
full_df = pd.DataFrame(full_counts.items(), columns=["Keyword", "Frequency"]).sort_values(by="Frequency", ascending=False)
all_df = pd.DataFrame(all_counts.items(), columns=["Keyword", "Frequency"]).sort_values(by="Frequency", ascending=False)

Save as Excel files
shorts_path = "/mnt/data/SEO_Keyword_Analysis_Shorts.xlsx"
full_path = "/mnt/data/SEO_Keyword_Analysis_Full.xlsx"
all_path = "/mnt/data/SEO_Keyword_Analysis_AllCombined.xlsx"

shorts_df.to_excel(shorts_path, index=False)
full_df.to_excel(full_path, index=False)
all_df.to_excel(all_path, index=False)

(shorts_path, full_path, all_path)

💥 Final Note

No matter what you love — comedy, food, travel, education, or tech, this channel has it all.
Subscribe, stay tuned, and become part of a growing global family that believes in creativity, positivity, and endless curiosity 🌟 Turn on the 🔔 notification bell so you never miss a new upload! Because here, every click brings a story, every story brings joy, and every moment inspires. ❤️

🏷️ SEO Hashtags:

#FunnyVideo #ASMR #FoodChallenge #TruckAccidentLawyer #TechReview #GamingShorts #EducationalVideo #TravelVlog #ComedyShorts #KnowledgeFacts #MakeupTutorial #SleepSounds #VillageLife #ViralShorts #CapCutEditing #AIReview #LegalHelp #InjuryClaim #RelaxingASMR #TrendingVideo