# Import required libraries for portfolio
from portfolio import Engineer
from skills import AI, MachineLearning, DataScience
from tools import Python, PyTorch, TensorFlow, React
import passion

# Initialize Sahil's Profile
Sahil = Engineer(
    name="Sahil Modi",
    role="AI/ML Engineer & Data Scientist",
    location="India",
    status="Open to opportunities"
)

# Display profile
Sahil.introduce()

# Technical Skills
skills = {
    "AI/ML": [
        "TensorFlow", "PyTorch", "Scikit-Learn",
        "LangChain", "OpenCV", "Hugging Face",
        "RAG", "LLM Integration"
    ],

    "Data & Analytics": [
        "Pandas", "NumPy", "Power BI", "Tableau",
        "SQL", "PostgreSQL", "MongoDB",
        "Pinecone", "FAISS"
    ],

    "Backend Development": [
        "Python", "FastAPI", "Django", "Flask",
        "REST APIs", "JWT Authentication",
        "Microservices"
    ],

    "Frontend": [
        "React.js", "Next.js", "JavaScript",
        "TypeScript", "TailwindCSS", "Bootstrap"
    ],

    "Cloud & DevOps": [
        "Git/GitHub", "Docker", "CI/CD",
        "AWS", "Azure", "Linux",
        "Kubernetes", "GitHub Actions"
    ],

    "Tools & Concepts": [
        "Data Structures & Algorithms",
        "System Design",
        "Postman",
        "PyTest"
    ]
}

# Display skills
print("Technical Skills:")
for category, techs in skills.items():
    print(f"{category}: {', '.join(techs)}")

# About Sahil Modi
          intro = """
          Passionate software developer with strong interests in data science, analytics, cloud technologies, and scalable full-stack applications. Experienced in building backend systems, healthcare technology platforms, and AI-assisted solutions using modern development frameworks and cloud-based architectures. Skilled in Python, React, FastAPI, SQL, and DevOps fundamentals, with a focus on solving real-world problems through data-driven and efficient software solutions.
          """

print(intro)

# Academic Background
          education = [
              {
                  "degree": "Bachelor of Vocation (B.Voc) in Software Development",
                  "institution": "Jai Hind College, Mumbai University",
                  "duration": "2023 – 2026",
                  "cgpa": "9.5"
              }
          ]

          print("EDUCATION")
          for edu in education:
              print(f"  {edu['degree']}")
              print(f"  {edu['institution']} ({edu['duration']})")
              print(f"  CGPA: {edu['cgpa']}")
              print()

# Work Experience
experience = [
    {
        "role": "Web Developer Intern",
        "company": "Plasmid Technologies Pvt. Ltd.",
        "period": "Oct 2024 - Dec 2024",
        "description": "Built responsive and dynamic web applications using HTML, CSS, JavaScript, React, and Vite, while managing version control and collaborating on UI enhancements through GitHub."
    },
    {
        "role": "Full Stack Developer Intern",
        "company": "DVNJ Health Tech Pvt. Ltd.",
        "period": "Oct 2025 - Jan 2026",
        "description": "Developed high-performance cross-platform applications using React Native, Firebase, AWS Cloud, and GitHub, while ensuring application stability through GUI and functional testing."
    }
]

print("WORK EXPERIENCE")
for exp in experience:
    print(f"  {exp['role']}")
    print(f"  {exp['company']} | {exp['period']}")
    print(f"  {exp['description']}")
    print()

# Load and display projects
projects = [
    {
        "name": "Maternity Care System",
        "description": "Comprehensive platform for expecting and new mothers with healthcare resources and pregnancy guidance",
        "type": "Healthcare Project",
        "tags": ["React.js", "Node.js", "Firebase", "Tailwind CSS"],
        "timeline": "2025"
    },
    
    {
        "name": "EHR 360",
        "description": "Electronic Health Record platform for secure patient data management and healthcare workflow optimization",
        "type": "Major Project",
        "tags": ["React.js", "Node.js", "Firebase", "Vercel"],
        "timeline": "2025 - Present"
    },
    {
        "name": "Medi-Reach",
        "description": "AI-powered healthcare accessibility platform for intelligent patient support and medical assistance",
        "type": "AI/Healthcare Project",
        "tags": ["Python", "FastAPI", "Machine Learning", "MongoDB"],
        "timeline": "2026"
    },
]

# Display projects
for i, proj in enumerate(projects, 1):
    print(f"{i}. {proj['name']}")

# Contact information
    contact = {
      "email": "sahilmodic819@gmail.com",
      "linkedin": "linkedin.com/in/sahil-modi819",
      "github": "github.com/sahil-modi",
      "location": "Mumbai, Maharashtra, India",
      "availability": "Open to opportunities"
    }

    # Display contact methods
    for platform, info in contact.items():
      print(f"{platform.title()}: {info}")

# Send a message
def send_message(name, email, subject, message):
    """
    Submit a contact form message
    """
    return {
        "status": "pending",
        "name": name,
        "email": email,
        "subject": subject,
        "message": message
    }

# Example usage
# result = send_message("Your Name", "email@example.com", "Subject", "Hello!")