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AI-ML-Internship-Tasks

Task 1: Exploring and Visualizing a Simple Dataset Objective: Learn how to load, inspect, and visualize a dataset to understand data trends and distributions. Dataset: Iris Dataset (https://www.kaggle.com/datasets/saurabh00007/iriscsv/data)

Task 2: Predict Future Stock Prices (Short-Term) Objective: Use historical stock data to predict the next day's closing price. Dataset: Tesla's Stock market data from Yahoo Finance (retrieved using the yfinance Python library)

Task 3: Heart Disease Prediction Objective: Build a model to predict whether a person is at risk of heart disease based on their health data. Dataset: Heart Disease UCI Dataset (https://www.kaggle.com/datasets/redwankarimsony/heart-disease-data)

Task 4: General Health Query Chatbot (Prompt Engineering Based) Objective: Create a chatbot that can answer general health-related questions using an LLM (Large Language Model). Tool: gemini-2.5-flash via API