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Python
Machine Learning
2026
ID: 1CP0656
A Holistic Approach to Airfare Price Prediction Using Machine Learning Techniques with Python
Keywords:
Airfare
Price
Prediction,
Machine
Learning,
Deep
Learning,
Price
Forecasting,
Data
Science,
Artificial
Intelligence
Project Synopsis & Overview
This project develops an airfare price prediction system using machine learning and artificial intelligence techniques. Flight-related features such as airline, route, departure time, duration, and travel details are analyzed to predict ticket prices. Multiple machine learning and deep learning models can be evaluated and compared to identify accurate prediction approaches, helping travelers estimate airfare and support better booking decisions.
Complete Technical Specifications
| Project ID | 1CP0656 (DB ID: 656) |
| Project Title | A Holistic Approach to Airfare Price Prediction Using Machine Learning Techniques with Python |
| Domain Division | Python |
| Sub-Domain / Tech | Machine Learning |
| IEEE Year | 2026 |
| Package Price | ₹6500 |
| Created Date | Oct 01, 2026 |
Project Price
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₹8000
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