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akshit-sharma-cli

v1.0.33

Published

Personal CLI tool showcasing Akshit Sharma's AI/ML engineering profile

Downloads

1,200

Readme

akshit-sharma-cli 🤖

Enhanced AI-Powered CLI Tool that transforms your terminal into an intelligent, interactive assistant for Akshit Sharma.

✨ What Makes This Special?

  • 🤖 AI-Powered Conversations: Real-time chat with enhanced integrations
  • 💼 LinkedIn Integration: Live professional profile analysis
  • 📊 GitHub Analysis: Dynamic repository insights and code analysis
  • 🎯 Job Fit Analysis: Smart job matching with compatibility scoring
  • 📱 Contact Generation: Personalized outreach templates
  • 🌐 Multi-Platform Support: Web scraping and API integrations
  • 🔒 Secure Configuration: Environment-based URL management

⚡ Quick Start

Enhanced AI Chat Mode

npx akshit-sharma-cli --chatbot

Traditional Profile Commands

npx akshit-sharma-cli --info   # Complete profile overview

No global install required. Powered by Google's Gemma AI model.

📦 Installation

Global Installation (Recommended)

npm install -g akshit-sharma-cli

Run Anywhere

akshit-sharma-cli --chatbot     # Start AI chat
akshit-sharma-cli --info        # Quick profile view

🛠️ Available Modes

🤖 AI Chat Mode (--chatbot)

Interactive conversational AI with enhanced capabilities:

| Feature | Description | Example Commands | |---------|-------------|------------------| | LinkedIn Integration | Real-time professional profile analysis | "Show me Akshit's LinkedIn updates" | | GitHub Analysis | Repository insights & code review | "Analyze Akshit's GitHub projects" | | Job Fit Analysis | Smart job matching with scoring | "Analyze this job: [URL]" | | Contact Generation | Personalized outreach templates | "Help me write an email to Akshit" | | Resume Processing | Comprehensive CV analysis | "What's in Akshit's resume?" | | Web Integration | Latest blog posts & updates | "Show recent blog posts" |

📋 Traditional Commands

| Command | What it shows | |---------|---------------| | --chatbot | AI-powered interactive chat | | --info | Complete profile overview | | --skills | Technical skills & expertise | | --projects | Key projects & achievements | | --experience | Professional experience & internships | | --contact | Contact information | | --help | Full command reference |

🔧 Configuration

Environment Setup

Create a .env file in your project root:

# Required: Backend API endpoint
AKSHIT_CHATBOT_PROXY_URL=https://your-backend.vercel.app/api/chat

# Optional: Fallback URLs
CHATBOT_PROXY_URL=https://your-backend.vercel.app/api/chat
VERCEL_URL=https://your-backend.vercel.app
API_BASE_URL=https://your-backend.vercel.app

GitHub Actions/Secrets

For production deployment, add repository secrets:

  • AKSHIT_CHATBOT_PROXY_URL: Your backend API endpoint
  • GEMINI_API_KEY: Google Gemini API key
  • GITHUB_TOKEN: GitHub API access token

💡 Enhanced Usage Examples

🤖 AI Chat Interactions

# Start the AI chat
npx akshit-sharma-cli --chatbot

# Example conversations:
> "Tell me about Akshit's latest projects"
> "Analyze this job posting: https://linkedin.com/jobs/view/123"
> "Help me contact Akshit for collaboration"
> "What programming languages does Akshit know?"
> "Show me his GitHub repositories"

📋 Quick Profile Access

# Traditional command usage
npx akshit-sharma-cli --projects   # View key projects
npx akshit-sharma-cli --experience # Professional background
npx akshit-sharma-cli --contact    # Contact information

🚀 Enhanced Project Portfolio

| Project | Tech Stack | AI Features | Impact | |---------|------------|-------------|---------| | OpenStack Cloud Manager | Python · OpenStack SDK · Gemini AI · Flask | Natural language infrastructure management | 87% intent accuracy · 300ms response time | | SignEase ASL Platform | TensorFlow · MediaPipe · WebRTC · React | Real-time gesture recognition & translation | 89% accuracy · 64% latency reduction | | Universal Website Chatbot | Llama 3.1 · Python · Flask · MongoDB | Fine-tuned conversational AI | 90% accuracy · Deployed on 4+ sites | | Enhanced CLI Assistant | Gemma 2 · Node.js · GitHub API · Vercel | Multi-platform AI integration | Real-time data processing |

💼 Professional Experience

| Role | Company | Period | AI/ML Achievements | |------|---------|--------|-------------------| | ML Intern | CodSoft | Aug-Sep 2024 | • Movie recommendation: 92% accuracy• Fraud detection: 95% accuracy• Reduced false positives by 15% | | ML Intern | Cantilever.in | Jul-Aug 2024 | • BERT sentiment analysis: 88% accuracy• Fraud detection recall: +10% improvement• Distributed training optimization |

🔧 Technical Expertise

AI/ML Stack

  • Frameworks: TensorFlow, PyTorch, Hugging Face Transformers
  • Models: BERT, Llama 3.1, Gemma 2, GPT variants
  • Specialties: Computer Vision, NLP, RAG, Fine-tuning

Programming Languages

  • Expert: Python (Advanced), SQL
  • Proficient: C/C++, Java, JavaScript, TypeScript

Cloud & DevOps

  • Platforms: Google Cloud Platform, AWS, Vercel
  • Technologies: OpenStack SDK, Docker, Kubernetes
  • APIs: GitHub API, LinkedIn scraping, REST services

Development Tools

  • Version Control: Git, GitHub Actions
  • Databases: MongoDB, PostgreSQL, Redis
  • Frontend: React, Node.js, CLI development

🏆 Recent Achievements

  • 🥇 Winner – AceCloud X RTDS Hackathon '25 (AI Innovation Category)
  • 🎓 Academic Excellence – 8.96/10 CGPA in AI & Data Science
  • 🚀 Multiple High-Accuracy Models – 89-95% accuracy across projects
  • 🔧 Open Source Contributions – CLI tools with 500+ downloads

🏗️ Architecture Overview

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
│   CLI Frontend  │────│  Vercel Backend  │────│   Gemini AI     │
│   (Node.js)     │    │   (Serverless)   │    │   (Google)      │
└─────────────────┘    └──────────────────┘    └─────────────────┘
         │                       │                       │
         ├─ Environment Config   ├─ API Routing         ├─ Text Generation
         ├─ User Interface       ├─ Data Processing     ├─ Intent Detection
         ├─ Action Detection     ├─ External APIs       └─ Response Formatting
         └─ Response Formatting  └─ Security Layer
                                        │
                    ┌───────────────────┼───────────────────┐
                    │                   │                   │
            ┌───────────────┐  ┌─────────────────┐  ┌──────────────┐
            │  GitHub API   │  │  LinkedIn Data  │  │  Job APIs    │
            │  Integration  │  │   Processing    │  │  Analysis    │
            └───────────────┘  └─────────────────┘  └──────────────┘

📚 Development Roadmap

🔄 Current Phase (v1.5)

  • ✅ AI-powered conversational interface
  • ✅ Multi-platform integrations (LinkedIn, GitHub)
  • ✅ Secure environment configuration
  • ✅ Real-time data processing

🚀 Next Phase (v2.0)

  • [ ] Voice Integration – Speech-to-text conversations
  • [ ] Advanced Analytics – Performance metrics dashboard
  • [ ] Custom Training – User-specific model fine-tuning
  • [ ] Mobile App – Cross-platform mobile companion
  • [ ] Docker Support – Containerized deployment options

🔮 Future Vision (v3.0)

  • [ ] Multi-language Support – International accessibility
  • [ ] Plugin System – Extensible third-party integrations
  • [ ] Advanced Scraping – Real-time social media monitoring
  • [ ] Team Collaboration – Multi-user workspace features

🤝 Contributing

We welcome contributions to enhance the AI capabilities and integrations!

Setup Development Environment

# Clone the repository
git clone https://github.com/akshit7093/akshit-sharma-cli.git
cd akshit-sharma-cli

# Install dependencies
npm install

# Setup environment variables
cp .env.example .env
# Edit .env with your API keys

# Start development
npm run dev

Contribution Guidelines

  1. Fork & Clone
  2. Create Feature Branch: git checkout -b feat/amazing-ai-feature
  3. Follow Code Standards: ESLint + Prettier configured
  4. Add Tests: Ensure AI responses are tested
  5. Update Documentation: Include usage examples
  6. Submit PR: Detailed description of AI enhancements

Testing AI Features

# Test basic functionality
npm test

# Test AI integrations (requires API keys)
npm run test:ai

# Test CLI commands
npm run test:cli

🔄 Continuous Deployment

Automated Publishing

The package auto-publishes to npm on GitHub releases with enhanced CI/CD:

name: 🚀 Enhanced Deployment Pipeline

on:
  release:
    types: [published]

jobs:
  test-ai-features:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '20.x'
      - run: npm ci
      - run: npm run test:ai
        env:
          GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

  publish-npm:
    needs: test-ai-features
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '20.x'
          registry-url: https://registry.npmjs.org
      - run: npm ci
      - run: npm publish --access public
        env:
          NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}

  deploy-backend:
    needs: test-ai-features
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: amondnet/vercel-action@v25
        with:
          vercel-token: ${{ secrets.VERCEL_TOKEN }}
          vercel-org-id: ${{ secrets.VERCEL_ORG_ID }}
          vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }}
          vercel-args: '--prod'

Backend Deployment

The AI backend is automatically deployed to Vercel with:

  • Environment variable management
  • Serverless function optimization
  • API rate limiting and security
  • Real-time monitoring and logging

🔒 Security & Privacy

Data Protection

  • No Hardcoded URLs – All endpoints via environment variables
  • API Key Security – Secure token management
  • Request Validation – Input sanitization and validation
  • Rate Limiting – API abuse prevention
  • Error Handling – No sensitive data in error messages

Privacy Compliance

  • 🔒 No Personal Data Storage – Conversations are not logged
  • 🔒 Minimal Data Collection – Only necessary for functionality
  • 🔒 Transparent Processing – Clear data usage policies
  • 🔒 User Control – Easy opt-out mechanisms

📫 Connect with Akshit

Professional Networks

Coding Platforms

AI/ML Collaborations

💡 Open to collaborations in:

  • Machine Learning research projects
  • AI-powered application development
  • Open source contributions
  • Hackathons and competitions
  • Technical mentorship opportunities

📊 Project Statistics

npm downloads GitHub stars AI Integration Version

📄 License

Released under the MIT License. See LICENSE for details.

🙏 Acknowledgments

  • Google Gemini AI – Powering intelligent conversations
  • Vercel – Serverless backend hosting
  • GitHub Actions – Automated CI/CD pipeline
  • Node.js Community – Excellent CLI development tools
  • Open Source Contributors – Making this project better

Made with ❤️, 🤖 AI, and ☕ by Akshit Sharma

"Transforming traditional résumés into intelligent, interactive experiences"

Buy Me A Coffee Star on GitHub