Chat Analyzer UI

A cross-platform Flutter application to import, parse, and analyze chat logs (like those from WhatsApp), providing detailed statistics and visualizations about participants' interactions, sentiments, and communication patterns.

Key Features

1. Data Input & Compatibility

• Cross-Platform: Fully functional on Android, iOS, Linux, Windows, macOS, and Web.
• Flexible Import: Load chat history .txt files using:
  • File Picker: Select the file from your device's storage.
  • Drag-and-Drop: Drag the file directly onto the app window (on desktop platforms).
  • Share Intent: Open chat files directly from other apps (e.g., WhatsApp) on mobile.
• Advanced Parsing: The app intelligently parses the chat file to identify:
  • Messages, authors, dates, and times.
  • Emojis and links.
  • System messages (e.g., "User joined the group").

2. Core Analysis Metrics

• General Statistics (per user):
  • Message & Word Count: Total messages and words sent.
  • Emoji & Link Count: Total emojis and links shared.
  • Word Cloud: A visual representation of the most frequently used words, with advanced filtering of common "stopwords" in both English and Spanish.
  • Emoji Frequency: A list of the most used emojis.
• Temporal Analysis:
  • Activity Heatmap: A GitHub-style calendar heatmap visualizing message frequency throughout the year.
  • Hourly Activity: A bar chart showing the most active hours of the day for sending messages.
• Sentiment Analysis:
  • Message-level Sentiment: Each message is analyzed for positive, negative, or neutral sentiment.
  • Sentiment Heatmap: A calendar view showing the average sentiment for each day, colored from red (negative) to green (positive).

3. Interaction & Social Network Analysis

This section analyzes the dynamics of the conversation as a social network.

• Conversation Detection:
  • Automatic Threshold: The app automatically detects the natural time gap that separates one conversation from the next.
  • Interactive Adjustment: Manually adjust the conversation threshold with a slider to see how the analysis changes in real-time.
• Interaction Metrics:
  • Conversation Starters & Enders: See who tends to initiate and conclude conversations.
  • Average Response Time: Compare how quickly each participant typically replies.
• Graph-Based Network Analysis:
  • Reply Matrix: A detailed table showing who replies to whom and with what frequency.
  • PageRank: Identifies the most "influential" participants in the conversation based on who gets replied to by other influential members.
  • Betweenness Centrality: Measures how often a participant acts as a "bridge" or "broker" in the communication flow between other members. This helps identify key connectors in the group.

4. Visualizations & Export

• Interactive Charts: Most metrics are presented using clear, interactive charts and graphs from the fl_chart library.
• Graph Visualizer: A visual representation of the interaction network using the flutter_force_directed_graph library.
• Image Export: Share or save the analysis results as a convenient image.

Tech Stack

• Framework: Flutter
• Language: Dart
• Dependencies:
  • UI & Charting: fl_chart, flutter_heatmap_calendar
  • File Handling: file_picker, desktop_drop, receive_sharing_intent
  • Analysis: dart_sentiment, flutter_force_directed_graph