🔍 Planned Tasks:
- Sentiment Analysis: 💬 Understand user opinions from comments and captions.
- Image Recognition: 🖼️ Identify objects, scenes, and people in images.
- Content Trend Analysis: 📈 Track trending topics and hashtags.
- User Engagement Prediction: 🚀 Predict high-engagement posts.
- Community Detection: 🌐 Identify user communities.
- Hashtag Analysis: #️⃣ Determine hashtag popularity and relevance.
- Influencer Identification: 👑 Find influential users in specific niches.
- Recommender Systems: 🎯 Suggest content based on user preferences.
- Time Series Analysis: ⏰ Analyze trends over time for various metrics.
- Network Analysis: 🤝 Study user connections and interactions.
🏗️ Structure:
- Data Collection: 📥 Set up scraping tools to gather Instagram data.
- Data Preprocessing: 🧹 Clean and format the data for analysis.
- Exploratory Data Analysis: 🔍 Explore data characteristics and relationships.
- Modeling: 🤖 Develop machine learning models for various tasks.
- Evaluation: 📊 Assess model performance using appropriate metrics.
- Visualization: 📊 Create engaging visualizations to present insights.
- Deployment: 🚀 Deploy models and visualizations in a user-friendly interface.
pip install -r requirements.txt