https://github.com/trishaamandal/instareach
https://github.com/trishaamandal/instareach
final-year-project github machine-learning model numpy prediction project
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/trishaamandal/instareach
- Owner: trishaamandal
- Created: 2025-05-09T13:59:28.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-09T14:16:33.000Z (about 1 year ago)
- Last Synced: 2025-06-19T15:47:04.849Z (about 1 year ago)
- Topics: final-year-project, github, machine-learning, model, numpy, prediction, project
- Language: Python
- Homepage:
- Size: 4.88 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 📊 Instagram Reach Forecasting using Python
## 📌 Overview
### Not everyone is active on social media all the time. Usage drops during exam seasons, festivals, and other events.This project helps content creators and digital marketers predict Instagram reach to plan posts more effectively and improve engagement. We use historical reach data to forecast future trends using the SARIMA (Seasonal ARIMA) time series model.
# 🛠️ Tools & Technologies
## - Python
## - Pandas & NumPy
## - Matplotlib & Seaborn (for visualization)
## - Statsmodels (SARIMA model)
# 🔍 Dataset
### The dataset contains historical Instagram reach metrics over a time period.(Replace with link or mention source)
# 🚀 How to Run
## Clone the repo or download
```bash
git clone https://github.com/trishaamandal/Instareach
```
## Install dependencies:
```bash
pip install pandas numpy matplotlib seaborn statsmodels
```