Adwaid P

Demand Forecasting System using Time Series AI

Data Science Project

Developed an end-to-end demand forecasting system to predict future sales using ARIMA and Prophet models.

• Conducted time series analysis to identify trends, seasonality, and anomalies
• Engineered lag features and rolling averages to improve model performance
• Built and evaluated models using MAE and RMSE metrics
• Visualized forecasts and insights using Python libraries

Python, ARIMA, Prophet, Time Series, Forecasting

AI-Powered IPL Auction Analysis & Price Prediction System

Data Science / Machine Learning Project

Built a machine learning system to analyze IPL auction data and predict player valuations from historical patterns.

• Performed EDA to uncover player pricing trends and team spending patterns
• Engineered features for predictive modeling
• Built models to estimate player auction prices
• Visualized insights using Matplotlib and Seaborn

Python, EDA, Machine Learning, Matplotlib, Seaborn

BeatBuff - AI-Based Music Recommendation System

Data Science / AI Project

Built a music recommendation system that analyzes user preferences and audio features to deliver personalized suggestions.

• Processed music datasets and extracted relevant features
• Implemented similarity-based recommendation algorithms
• Improved recommendation accuracy through model tuning

Python, Recommendation Systems, AI, Data Science

Assent - Privacy-Focused Photo Sharing Web Application

Academic Project

Developed a privacy-focused web app enabling controlled photo sharing with identity-based access.

• Designed secure authentication and access control system
• Applied data-driven logic for identity-based content visibility

Web App, Authentication, Access Control, Privacy

Movie Recommendation System

Built a recommendation app using TMDB API and Streamlit with genre-aware suggestions and smooth browsing.