import pandas as pd


# Load Hackathon Data from CSV
def load_hackathons(csv_file):
    df = pd.read_csv(csv_file)
    hackathons = []

    for _, row in df.iterrows():
        skills = row["Required Skills"].split(",")  # Convert skills from string to list
        skills = [skill.strip().title() for skill in skills]  # Clean up formatting
        hackathons.append({"name": row["Hackathon Name"], "skills": skills})

    return hackathons


# Function to recommend hackathons based on user skills
def recommend_hackathons(user_skills, hackathons):
    recommendations = []
    for hackathon in hackathons:
        matched_skills = [skill for skill in user_skills if skill in hackathon["skills"]]
        if matched_skills:  # If at least one skill matches
            recommendations.append((hackathon["name"], len(matched_skills)))

    # Sort by number of matched skills (Best match first)
    recommendations.sort(key=lambda x: x[1], reverse=True)

    return [rec[0] for rec in recommendations]


# Load hackathons from the uploaded CSV file
csv_path = r"C:\Users\safal\PycharmProjects\PythonProject\Hackathon_Dataset.csv"
hackathons = load_hackathons(csv_path)

# User manually inputs skills
user_skills = input("Enter your skills (comma-separated): ").split(",")

# Remove extra spaces & standardize formatting
user_skills = [skill.strip().title() for skill in user_skills]

# Get hackathon recommendations
recommended_hackathons = recommend_hackathons(user_skills, hackathons)

# Output results
print("\nYour Skills:", user_skills)
print("Recommended Hackathons:", recommended_hackathons if recommended_hackathons else "No matching hackathons found.")