Project Title: AI Learning Hub Machine Learning & Generative AI Web Platform

Overview: AI Learning Hub is a unified web application designed to serve end-to-end Machine Learning, Deep Learning, and Generative AI inference pipelines. Built with a responsive Flask backend and modular Python data pipelines, the platform delivers real-time model execution, data preprocessing, and evaluation metrics across classical ML and advanced neural network architectures.

Key Features & Technical Execution:

1: Unified ML Interface: Integrated classical machine learning pipelines (Linear Regression, Naive Bayes) with deep learning architectures (CNNs, RNNs, LSTMs) using PyTorch and Scikit-learn.

2: Generative AI & NLP Integration: Leveraged Hugging Face Transformers to deliver real-time sentiment analysis, text generation, and voice-based Q&A features.

3: Full-Stack Integration: Architected a modular Python / Flask RESTful backend with interactive UI controls, allowing users to input raw data, trigger model inferences, and inspect evaluation metrics seamlessly.

4: Data Processing & Pipeline Optimization: Implemented custom preprocessing and feature extraction pipelines to handle multi-modal inputs (text, voice, and tabular data).

Tech Stack:

Language: Python

Backend Framework: Flask

Machine Learning & Deep Learning: PyTorch, Scikit-learn

Generative AI & NLP: Hugging Face Transformers

Data Processing: NumPy, Pandas