Update readme

README.md

@@ -17,6 +17,7 @@ SendTemps is a full-stack Next.js 14 application designed for Colorado Front Ran
 - **Seamless User Account Management:** Integrates Google OAuth and NextAuth for a secure, streamlined sign-in experience with persistent sessions, enabling easy access to location customization features.
 - **Interactive Mapping:** Features a point-and-click Google Maps interface for easy creation of backcountry locations, with an auto-updating, user-friendly UI.
 - **Robust Location Management:** Employs a Vercel PostgreSQL database for durable storage of custom locations, supporting full CRUD operations through Next.js APIs for dynamic user interaction.
+- **AI-Powered Recommendations:** Using prompt engineering, integrated AI to analyze forecasts and recommend optimal days to engage in the sports that the user selected location is associated with.
 - **Optimized User Experience:** Implements intelligent error handling and automatic retry mechanisms for NOAA forecast API requests, ensuring smooth and informative user interactions.
 - **Standalone Display:** Designed for optimal performance on mobile devices, with capabilities for home screen addition, paving the way for full Progressive Web App functionality in the future.
 - **Hourly Forecast Display:** New as of 2.26.24 - Provides detailed hourly weather forecasts for more precise activity planning.
@@ -26,7 +27,6 @@ SendTemps is a full-stack Next.js 14 application designed for Colorado Front Ran
 - **Multiple Sport Association:** Enable users to associate multiple sports with a single location for enhanced flexibility.
 - **Customizable Default Views:** Allow users to personalize the locations around the Front Range that are loaded by default. This would allow a user to further personalize the application, increasing engagement by reducing irrelevant information.
 - **Enhanced Search Functionality:** Implement text-based search with autocomplete to streamline location finding. This would be especially useful if a user has many locations and the current select inputs become too cumbersome.
-- **AI-Powered Recommendations:** Using prompt engineering, integrate AI to analyze forecasts and recommend optimal days to engage in the sports that the location is associated with.
 
 ## Technical Challenges
 - Google OAuth / NextAuth

src/app/Components/DetailedDayForecast/DetailedDayForecast.tsx

@@ -8,11 +8,9 @@ interface Props {
 
 const DetailedDayForecast: React.FC<Props> = ({ period }) => {
   const {
-    selectedLocType,
     setHourlyForecastParams,
     hourlyForecastData,
     forecastSendScores,
-    error,
   } = useContext(HomeContext);
 
   if (period && hourlyForecastData) {
@@ -24,12 +22,10 @@ const DetailedDayForecast: React.FC<Props> = ({ period }) => {
 
     const minRH = hourlyForecastData.getMinRHForTimePeriod(hourlyParams);
 
-    let sendScore;
-    if (forecastSendScores?.forecastPeriods) {
-      sendScore = forecastSendScores?.forecastPeriods.find(
-        (score) => score.name === period.name
-      );
-    }
+    const sendScoreData = forecastSendScores?.forecastPeriods.find(
+      (score) => score.name === period.name
+    );
+
     return (
       <article
         className="detailed-day-forecast"
@@ -53,10 +49,8 @@ const DetailedDayForecast: React.FC<Props> = ({ period }) => {
           </div>
           <h2 className="day-header-text">{period.name}</h2>
           <div className="day-header-details">
-            {sendScore?.sendScore ? (
-              <p>SendScore: {sendScore.sendScore}</p>
-            ) : (
-              !error && selectedLocType !== "other" && <p>Loading...</p>
+            {sendScoreData?.sendScore && (
+              <p>SendScore: {sendScoreData.sendScore}</p>
             )}
           </div>
         </div>

src/app/Components/HomeControl/HomeControl.tsx

@@ -12,7 +12,6 @@ import { Forecast } from "@/app/Classes/Forecast";
 import { HourlyForecast } from "@/app/Classes/HourlyForecast";
 import { postForecastForSendScores } from "@/app/Util/OpenAiApiCalls";
 import { OpenAIForecastData } from "@/app/Classes/OpenAIForecastData";
-import { ForecastSendScores } from "@/app/Interfaces/interfaces";
 
 export default function HomeControl() {
   const {