Shall I Learn

Make informed decisions about your next technology stack

About • Tech Stack • Demo • Features • Installation • Documentation

About

Shall I Learn is a powerful analytics platform that helps developers and tech enthusiasts make data-driven decisions about which technologies to learn next. By aggregating real-time data from multiple authoritative sources, it provides comprehensive insights into technology trends, job market demand, and community engagement.

Technology Stack

Backend Infrastructure

Core	Web Framework	Data Processing	Analytics

Frontend Components

Core Technologies	Framework & Libraries	Visualization

Demo

Normal Flow

Error Handling

Mobile device

Features

Multi-Source Analytics

• Google Trends Analysis - Track technology popularity over time
• GitHub Insights - Monitor repository activity and community engagement
• Stack Overflow Metrics - Analyze developer discussions and problem-solving patterns
• Reddit Communities - Gauge community size and activity
• Job Market Analysis - Aggregate data from LinkedIn and other platforms

User Experience

• Real-time data processing
• Interactive data visualizations
• Clean, responsive interface
• Fast and efficient API endpoints

Installation

1. Clone the Repository

   git clone https://github.com/ajayraho/shall-i-learn.git
   cd shall-i-learn

2. Set Up Environment

   pip install -r requirements.txt

3. Launch Application

   uvicorn main:app --reload

   Access the application at http://localhost:8000

Documentation

Project Structure

shall-i-learn/
├── assets/                 # Static Resources
│   ├── css/               # Styling
│   ├── fonts/             # Typography
│   ├── img/              # Media
│   └── js/               # Client-side Logic
│
├── providers/             # Data Integration
│   ├── github.py         # GitHub API Integration
│   ├── gtrends.py        # Google Trends Analytics
│   ├── jobs.py           # Job Market Analysis
│   ├── linkedin.py       # LinkedIn Data
│   ├── reddit.py         # Reddit Community Analysis
│   └── stackoverflow.py  # Stack Overflow Metrics
│
├── templates/             # View Templates
│   └── index.html        # Main Interface
│
├── main.py               # Application Entry
└── requirements.txt      # Dependencies

API Reference

Endpoint	Method	Description
/	GET	Application Interface
/sil/googleTrends	POST	Google Trends Analytics
/sil/gitHub	POST	GitHub Statistics
/sil/stackoverflow	POST	Stack Overflow Insights
/sil/reddit	POST	Reddit Community Data
/sil/linkedin	POST	LinkedIn Job Statistics
/sil/miscjobs	POST	Additional Job Market Data

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Built with ❤️ by ajayraho