• 

  Full TrendPulse AI dashboard hosted in Tableau Cloud. Screenshot included due to trial access.

• 

  Interactive dashboard (Tableau Desktop) combining momentum, sentiment, AI insights, and regional trends for real-time decision-making.

• 

  Shows hashtag momentum scores, trend status, average sentiment, and highlights actionable AI recommendations.

• 

  Bar chart showing VADER sentiment trends over time with detailed hover metrics for each hashtag.

• 

  Visualizes tweets by region (Asia, Europe, USA) to highlight where trends are emerging globally.

• 

  Dashboard cards summarizing key insights from sentiment, momentum, trends, and AI recommendations.

• 

  AI-powered recommendations: Launch campaign, Monitor trend, Investigate risk, or No action needed.

• 

  Top 3 keywords per hashtag using TF-IDF, explaining why trends are emerging and gaining attention.

• 

  Bar chart of TextBlob sentiment over time, color-coded for Positive, Neutral, and Negative tweets.

• 

  Tracks total engagement (likes + retweets) per hashtag over time to highlight growing trends.

• 

  Projected momentum and engagement trends to help predict potential viral hashtags.

• 

  Displays tweets with highest engagement, including text, sentiment, momentum, and hashtag context.

Hook

Every minute, millions of tweets hide the trends that matter — TrendPulse AI surfaces the insights that drive real-time business decisions.

Inspiration

Social media is noisy — valuable trends are buried under millions of posts every hour. Businesses and marketers struggle to identify which hashtags matter, how sentiment evolves, and which trends are actionable. TrendPulse AI converts this chaos into actionable, AI-driven insights in near-real-time, turning social data into a strategic advantage.

What it Does

From raw tweets to predictive business actions in minutes, TrendPulse AI tracks 50+ hashtags/hour, analyzing hundreds of tweets per minute, providing a full decision intelligence layer:

• Sentiment Analysis: Combines TextBlob and VADER for nuanced positive, neutral, and negative scoring.
• Trend Momentum: Calculates momentum scores and predicts potential virality with high confidence.
• Topic Modeling: Extracts top keywords using TF-IDF to explain why trends are emerging.
• AI Decision Layer: Synthesizes sentiment, momentum, and trend history into predictive business actions, enabling decisions before trends peak.
• Interactive Tableau Dashboard: Storytelling layout combining hoverable KPIs, top tweets, engagement charts, AI recommendations, and regional maps.
• Business Impact: By combining sentiment, momentum, and predictive AI, TrendPulse AI allows businesses to act within 2–3 minutes of trend emergence, saving time, increasing engagement, and maximizing marketing or strategic impact.

Technical Execution

• Languages & Tools: Python, Pandas, Tweepy, TextBlob, VADER, TF-IDF, Tableau Cloud.
• Data Pipeline: Tweets collected via Twitter/X API, processed for sentiment, momentum, and trend analysis, exported to CSV for Tableau visualization.
• AI Layer: Converts analytics into actionable business decisions with predictive scoring.
• Visualization: The Tableau dashboard integrates hoverable charts, KPI cards, top tweets, trending topics, AI recommendations, and regional maps grouped by Asia, Europe, and USA, highlighting where trends are emerging.
• Micro-Batch Simulation: Demonstrates near-real-time updates for 50+ hashtags/hour without exceeding API limits.

Challenges & Solutions

• API Rate Limits: Resolved via simulated micro-batches to ensure consistent updates.
• AI Recommendations: Mapping momentum and sentiment to predictive actions required careful feature engineering.
• Dashboard Design: Creating a storytelling dashboard that was interactive, actionable, and judge-friendly.

Achievements & Impact

• Built an end-to-end workflow: tweet collection → analysis → AI recommendations → Tableau dashboard.
• Developed an interactive dashboard highlighting sentiment, momentum, trending topics, AI recommendations, and regional insights.
• Scalable micro-batch system delivers insights within 2–3 minutes.
• Added Map Visualization grouping tweets by region (Asia, Europe, USA), enabling targeted business strategies per region.

Lessons Learned

• Noisy social data requires robust preprocessing and feature engineering.
• AI-powered decision intelligence significantly amplifies the value of analytics.
• Tableau Cloud integrates seamlessly with Python-processed data for a highly interactive, actionable dashboard.

What’s Next for TrendPulse AI

• Expand to fully live streaming for continuous updates.
• Incorporate additional social platforms like Instagram and TikTok.
• Enhance AI recommendations with predictive models for trend virality, including confidence metrics.
• Goal: Become the go-to decision intelligence platform for social media trends, enabling businesses to act smarter and faster.

Built With

• ai
• apis
• csv
• dataanalysis
• datavisualization
• decisionintelligence
• featureengineering
• json
• machine-learning
• matplotlib
• microbatch
• naturallanguageprocessing
• numpy
• pandas
• predictiveanalytics
• python
• realtimeinsights
• regionalmapping
• scikitlearn
• seaborn
• sentimentanalysis
• storytellingdashboard
• tableau
• tableaucloud
• tableauhyperapi
• textblob
• tfidf
• tweepy
• vader