INFLUENCER-CLASSIFIER-AND-Q-SCORE-PREDICTOR (Team size - 4)

Problem Statement: For small and medium-sized businesses, efficient advertising is crucial for success. In today's digital age, social media is a key platform. A proper system can help identify the ideal influencers for product promotion.

Approach: Collect influencers data(Scraping) -> Build models for classification, regression system -> Classify the influencer -> Predict the Q-Score for the Influencer -> Combine all modules in Streamlit app for deployment.

Technology used: Python, Machine Learning, Streamlit, Data Miner Extension.

For detailed View -> https://github.com/RajDeep-Chakravorty/CAPSTONE-PROJECT-INFLUENCER-CLASSIFIER-AND-Q-SCORE-PREDICTOR