Baraka-Wambua/MaliYaLeo1

# MaliYaLeo: Market-Price-Planning-Assistant-for-Kenyan-Consumers-and-Farmers **Team Members**: Sammy Macharia, Cynthia Gichuki, Abishang Mueni, Maureen Gathoni, Baraka Nyamai. ## Introduction In Kenya, market prices for key food commodities fluctuate due to seasonal changes, weather patterns, transportation costs and middlemen influence. Farmers, traders and households struggle to access reliable, real-time information which limits their ability to make informed decisions. **MaliYaLeo** is a **data-driven solution** that provides: - Real-time and forecasted market prices. - Predictive insights for 7 days ahead. - Accessible delivery via **USSD and Web Dashboard** reaching even rural farmers with no smartphones or internet. ## Problem Statement - Farmers are vulnerable to exploitation due to lack of price transparency. - Households and traders face uncertainty in budgeting and purchasing decisions. - Current price reporting systems are often delayed or not user-friendly. ## Business Objectives **1. Provide Real-Time Market Price Information** – build a centralized data system to collect, clean and display up-to-date prices. **2. Predict Future Price Trends** – use ML models (Ridge Regresision, Prophet, XGBoost, LSTM) to forecast prices for better planning. **3. Deliver Insights via Inclusive Channels** – deploy to USSD and Web Dashboard for broad accessibility. ## Dataset **DATASOURCE:** The dataset compiles historical market price data from KAMIS by Kilimo, an official Kenyan Government platform managed by the Ministry of Agriculture. KAMIS Market Prices It includes daily and weekly wholesale & retail prices for a wide range of commodities across Kenyan markets. This table contains a total of 63173 records and is structured with the following key columns ## Project Approach **1. Data Pipeline** – Collected, cleaned and merged market datasets. **2. Exploratory Data Analysis (EDA)** – Identified trends, seasonality and anomalies.**Download E …