ai-atharva-cli/index.js

🤖 Gemini AI-powered interactive resume CLI with real AI responses! Features Google Gemini integration, comprehensive technical explanations, slash commands, and the exact Gemini CLI design. Perfect for showcasing Atharva Sawant's skills to Summer 2025 re

const resumeData = require('./lib/data/resume');
const Display = require('./lib/utils/display');
const NLP = require('./lib/responses/nlp');

// Import all commands
const ChatCommand = require('./lib/commands/chat');
const AboutCommand = require('./lib/commands/about');
const ExperienceCommand = require('./lib/commands/experience');
const SkillsCommand = require('./lib/commands/skills');
const ProjectsCommand = require('./lib/commands/projects');
const EducationCommand = require('./lib/commands/education');
const ContactCommand = require('./lib/commands/contact');

// Main module export for programmatic usage
module.exports = {
  // Version info
  version: require('./package.json').version,
  
  // Resume data
  data: resumeData,
  
  // Utilities
  Display,
  NLP,
  
  // Commands (for programmatic use)
  commands: {
    ChatCommand,
    AboutCommand,
    ExperienceCommand,
    SkillsCommand,
    ProjectsCommand,
    EducationCommand,
    ContactCommand
  },
  
  // Quick access methods
  async getPersonalInfo() {
    return resumeData.personal;
  },
  
  async getExperience() {
    return resumeData.experience;
  },
  
  async getSkills() {
    return resumeData.skills;
  },
  
  async getProjects() {
    return resumeData.projects;
  },
  
  async getEducation() {
    return resumeData.education;
  },
  
  async getContact() {
    const { personal } = resumeData;
    return {
      email: personal.email,
      phone: personal.phone,
      website: personal.website,
      linkedin: personal.linkedin,
      github: personal.github,
      location: personal.location,
      timezone: personal.timezone
    };
  },
  
  // Create formatted resume sections
  async createFormattedSection(section, options = {}) {
    const display = new Display(options);
    const data = resumeData[section];
    
    if (!data) {
      throw new Error(`Section '${section}' not found`);
    }
    
    // This would format different sections
    // Implementation depends on the section type
    return data;
  },
  
  // Interactive chat functionality
  async chat(message, options = {}) {
    const nlp = new NLP(options);
    return await nlp.processInput(message);
  },
  
  // Export resume data in different formats
  async exportResume(format = 'json') {
    switch (format.toLowerCase()) {
      case 'json':
        return JSON.stringify(resumeData, null, 2);
      
      case 'plain':
        const { personal, experience, skills } = resumeData;
        return `
${personal.name} - ${personal.title}

${personal.bio}

EXPERIENCE:
${experience.map(exp => `${exp.position} at ${exp.company} (${exp.duration})`).join('\n')}

SKILLS:
${Object.entries(skills.languages).map(([level, langs]) => `${level}: ${langs.join(', ')}`).join('\n')}

Contact: ${personal.email}
        `.trim();
      
      default:
        throw new Error(`Format '${format}' not supported`);
    }
  }
};

// If this file is run directly, show help
if (require.main === module) {
  console.log('🎯 Atharva Resume CLI');
  console.log('📦 This is the programmatic interface.');
  console.log('🚀 For the CLI, run: atharva chat');
  console.log('📚 For help, run: atharva help-me');
}