Home/Use-cases.md

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 title: User Personas
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+
 # User Persona
 
 ## Possible Users
 1. **Movie Enthusiast**: Someone who loves exploring movies and TV shows based on their preferences (genres, ratings, etc.).
 2. **Content Strategist**: A professional analyzing trends in Netflix content to guide future strategies.
 3. **Data Science Student**: A student using the application for learning about data preprocessing, machine learning, and visualizations.
-4. **Global Viewer**: Someone curious about popular content trends in their country or other regions.
+4. **University Project Team**: A group of students working on a collaborative data science project. 
+5. **Global Viewer**: Someone curious about popular content trends in their country or other regions.
 
 ---
 
 ## Persona 1: The Movie Enthusiast
+<img src="https://imgcdn.stablediffusionweb.com/2024/12/23/fa537f10-9c6e-4b4c-ad1e-446039c4d955.jpg" width = "200"/>
+
 **Name**: Sarah Collins  
 **Age**: 27  
 **Location**: San Francisco, USA  
 **Occupation**: Software Developer  
 
-### **Goals**:
+#### **Goals**:
 - Discover new content tailored to her favorite genres and ratings.
 - Explore content trends like duration changes over time.
 
-### **Pain Points**:
+#### **Background**:
+Sarah has been a loyal Netflix subscriber for 5 years and often finds herself overwhelmed with too many options. She loves uncovering hidden gems in her favorite genres.
+
+#### **Pain Points**:
 - Overwhelmed by Netflix's large library and struggles to decide what to watch.
 - Curious about how Netflix's catalog has evolved over the years.
 
-### **Personality**:
+#### **Personality**:
 - Outgoing, analytical, and enjoys exploring unique content.
 - Likes visually appealing apps with intuitive navigation.
 
-### **Motivations**:
+#### **Hobbies**:
+- Watching sci-fi and thriller movies.
+- Writing reviews on IMDb and her blog.
+- Exploring photography and trying out new gadgets.
+
+#### **Motivations**:
 - Find recommendations that suit her taste without scrolling endlessly on Netflix.
 - Gain insights into movie and TV show trends for personal interest.
 
-### **Favorite Features**:
-- Personalized playlist recommendations.
-- Duration trend analysis for favorite genres.  
+#### **Favorite Platforms**:
+- Netflix, IMDb, and Letterboxd for content tracking and recommendations. **Goals**:
+- Discover new content tailored to her favorite genres and ratings.
+- Explore content trends like duration changes over time.
+
 
 ---
 
 ## Persona 2: The Content Strategist
-![Tony Stark](https://www.google.com/url?sa=i&url=https%3A%2F%2Fopenart.ai%2Fcommunity%2Fgychsna5z8NXMdpoeRp9&psig=AOvVaw38mLAOWFLCgZ-VIv4D_aLG&ust=1737758081512000&source=images&cd=vfe&opi=89978449&ved=0CBQQjRxqFwoTCPChib3zjIsDFQAAAAAdAAAAABAJ)  
+<img src="https://cdn.openart.ai/uploads/image_3zV_Zv_6_1692804411480_512.webp" width="200"/>
+  
 **Name**: Tony Stark  
 **Age**: 45  
 **Location**: London, UK  
 **Occupation**: Media Consultant  
 
-### **Goals**:
+#### **Goals**:
 - Analyze content trends by region to advise clients on strategic decisions.
 - Understand which genres and ratings perform well in specific countries.
 
-### **Pain Points**:
+#### **Background**:
+Tony has years of experience working with media companies to optimize their content strategies. He frequently collaborates with teams to interpret large datasets.
+
+#### **Pain Points**:
 - Limited tools to filter and analyze content trends by country.
 - Needs an intuitive platform to draw insights quickly for professional use.
 
-### **Personality**:
+#### **Personality**:
 - Detail-oriented, analytical, and prefers data-driven decision-making.
 - Appreciates tools that save time and offer clear insights.
 
-### **Motivations**:
+#### **Hobbies**:
+- Collecting vintage tech gadgets.
+- Hosting workshops on media analysis.
+- Watching documentaries on streaming platforms.
+
+#### **Motivations**:
 - Use country-wise content insights to guide recommendations for media campaigns.
 - Stay updated with global content trends.
 
-### **Favorite Features**:
-- Country-wise popular content analysis.
-- Clear visualizations for quick comprehension of trends.  
+#### **Favorite Platforms**:
+- Tableau for data visualization.
+- Media analysis tools like Nielsen and Statista.  
 
 ---
 
 ## Persona 3: The Data Science Student
-**Name**: Priya Sharma  
-**Age**: 21  
+<img src="https://media.datacamp.com/legacy/v1716897625/image_771ce7145f.png" width="200"/>
+
+**Name**: Priya
+**Age**: 23  
 **Location**: Bangalore, India  
 **Occupation**: Final-Year Undergraduate Student  
 
-### **Goals**:
+#### **Goals**:
 - Learn practical applications of data science using real-world datasets.
 - Understand how to preprocess data, build models, and visualize results.
 
-### **Pain Points**:
+#### **Background**:
+Priya is a tech-savvy student working on her final project, exploring machine learning and data visualization tools to make her portfolio stand out.
+
+#### **Pain Points**:
 - Finds working with large datasets challenging without structured examples.
 - Needs hands-on experience to understand data preprocessing and trend analysis.
 
-### **Personality**:
+#### **Personality**:
 - Curious, detail-oriented, and enjoys learning new technical skills.
 - Prefers applications with detailed yet beginner-friendly documentation.
 
-### **Motivations**:
+#### **Hobbies**:
+- Solving Kaggle challenges.
+- Writing tutorials and sharing knowledge with peers.
+- Playing chess and exploring AI technologies.
+
+#### **Motivations**:
 - Build a strong portfolio using real-world datasets like Netflix titles.
 - Gain confidence in machine learning and visualization tools.
 
-### **Favorite Features**:
-- Machine learning models applied to real-world data.
-- Interactive visualizations for trends over time.  
+#### **Favorite Platforms**:
+- Jupyter Notebook, Kaggle, and GitHub for coding and collaboration.
+- LinkedIn for networking and learning.  
+
+
+---
+
+## Persona 4: University Project Team
+<img src="https://thumbs.dreamstime.com/b/candid-shot-students-working-together-computer-lab-collaborating-coding-project-focused-expressions-one-student-318589260.jpg" width="200"/>
+
+
+**Names**: Alex Carter (22), Maria Lopez (21), and John Kim (22)  
+**Location**: Boston, USA  
+**Occupation**: Undergraduate Students in Data Science  
+
+### **Goals**:
+- Collaborate on a university capstone project using real-world data.
+- Implement machine learning models and present meaningful insights.
+- Build a web app that demonstrates data preprocessing, visualization, and prediction.
+
+### **Background**:
+- Alex is the team lead with strong coding skills.
+- Maria specializes in data visualization and storytelling.
+- John focuses on building machine learning models and integrating APIs.
+- Together, they are working on their final project to showcase their data science expertise.
+
+### **Pain Points**:
+- Coordinating tasks and merging code without conflicts.
+- Handling large datasets with missing or messy data.
+- Ensuring their application is user-friendly and visually appealing.
+
+### **Personality**:
+- **Alex**: Organized, detail-oriented, and tech-savvy.
+- **Maria**: Creative, expressive, and enjoys crafting compelling visualizations.
+- **John**: Analytical, logical, and a quick learner.
+
+### **Hobbies**:
+- **Alex**: Gaming, coding challenges, and reading about AI.
+- **Maria**: Painting, writing blogs, and exploring data visualization tools.
+- **John**: Watching tech tutorials, playing basketball, and experimenting with APIs.
+
+### **Motivations**:
+- Deliver a project that stands out during their final presentation.
+- Learn to work collaboratively on complex datasets.
+- Gain experience that helps in future job applications or internships.
+
+### **Favorite Platforms**:
+- Google Colab for coding and collaboration.
+- Tableau and Matplotlib for visualizations.
+- Streamlit for building their web app.