This repository contains the project work completed during my internship at Feynn Labs, where I focused on applying Artificial Intelligence (AI), Data Science, and Machine Learning (ML) to solve real-world business problems. The projects are structured into individual folders, each containing a dedicated README file with specific details about the project. Below is a summary of each project included in this repository.
- Project 1: AI Product/Service Prototyping for Small Businesses (Solo Project)
- Project 2A: Market Segmentation Study Task
- Project 2B: Electric Vehicle (EV) Market Segmentation
- Project 3: AI Product/Service Prototype Development and Business/Financial Modelling
Objective:
Identify real-world markets where AI can be applied to small and medium-sized businesses and come up with a sellable AI product or service idea. The focus was on ideating a product prototype that primarily uses AI/ML to solve business challenges. This project also includes an abstract product design, implementation details, and unique market strategies.
Industries Covered:
- Tourism
- Agriculture
- Education
- Supply Chain
- Medical, etc.
Key Components:
- Business Problem Identification
- Product Ideation and Prototype Design
- Abstract Product Model and Implementation Strategy
Folder: Project 1: AI Product Prototyping for Small Businesses
Objective:
Study the fundamentals of Market Segmentation, covering the 10 steps outlined in the provided PDF. This task also includes replicating a McDonald's case study using Python, focusing on the segmentation of the market to understand consumer behavior.
Key Components:
- Summary of Market Segmentation Fundamentals
- McDonald’s Market Segmentation Case Study Replication in Python
- Group Collaboration Task: Breakdown of steps and individual responsibilities
Folder: Project 2A: Market Segmentation Study Task
Additional Resources:
- Market Segmentation PDF: Link
Objective:
Analyze the Indian Electric Vehicle (EV) market to develop a feasible strategy for an EV startup to enter the market. The focus is on identifying the most suitable geographic, demographic, psychographic, and behavioral segments to target, based on data availability and segmentation analysis.
Key Components:
- Segmentation of the EV Market in India
- Data Analysis and Customer Segments
- Strategic Market Entry Proposal Based on Innovation Adoption Life Cycle
- Pricing Strategy Based on Early Market Psychographics
Folder: EV Market Segmentation
Objective:
Develop an AI product/service prototype based on the idea from Project 1. This project includes building a small-scale code implementation of the prototype and creating a business and financial model around the product to assess its feasibility, viability, and monetization potential.
Key Components:
- Prototype Selection: Feasibility, Viability, and Monetization of the Product
- Prototype Development: Code Implementation or Basic Prototype
- Business Modelling: Strategy to Introduce the Product into the Market
- Financial Modelling: Revenue Prediction Using Regression Models or Time Series Forecasting
Folder: Project 3: AI Product/Service Prototype Development and Business/Financial Modelling
This repository is licensed under the Apache License Version 2.0.