Submission

xaea12/.env

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+API_KEY=""

xaea12/.gitignore

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+# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
+
+# dependencies
+/node_modules
+/.venv
+/api/venv
+/api/__pycache__
+/.pnp
+.pnp.js
+/api/venv
+
+# testing
+/coverage
+
+# next.js
+/.next/
+/out/
+
+# production
+/build
+
+# misc
+.DS_Store
+*.pem
+
+# debug
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+
+# local env files
+.env*.local
+
+# vercel
+.vercel
+
+# typescript
+*.tsbuildinfo
+next-env.d.ts
+__pycache__
+
+#API Key
+API_KEY

xaea12/README.md

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+## Team Name
+
+XAEA12
+
+## Problem Statement
+
+Currently, Google offers Direction Requests insights (Count of unique customers seeking directions to your business, adjusted for multi-tapping, cancellations, and spam) as a part of Google Business Profile performance metrics. 
+However, for a new business who wishes to set up a store in a particular locality, there is little to no data available on the customer density.
+
+## Team leader email
+
+[email protected]
+
+## A brief of the prototype
+
+# Idea
+Develop an application utilizing the Google Maps Places API to extract business details and create heatmaps, addressing the problem of understanding market demand in specific geographic areas.	
+
+# Solution
+Our application collects data on business activity, including visit trends, and visualizes it using heatmaps. This helps businesses and local authorities make data-driven decisions, optimize operations, and identify growth opportunities.
+
+## Tech stack
+
+Next.js (with TypeScript) for the frontend, with Flask for the backend. We use Google maps APIs such as Places API to get place data, autofill as well as visualization information for creating heatmaps.
+
+## Step by Step code execution instructions
+
+First, edit the code to insert your API key with Places API enabled in 
+app/.env
+api/.env
+.env
+app/page.tsx
+
+Install the dependencies:
+
+```bash
+npm install
+# or
+yarn
+# or
+pnpm install
+```
+
+Run 
+
+```npm run build
+```
+
+to build the packages.
+
+Then, run the development server:
+
+```bash
+npm run dev
+# or
+yarn dev
+# or
+pnpm dev
+```
+
+Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
+
+The Flask server will be running on [http://127.0.0.1:5328](http://127.0.0.1:5328) – feel free to change the port in `package.json` (you'll also need to update it in `next.config.js`).

xaea12/api/.env

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+API_KEY=""

xaea12/api/config.py

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+from dotenv import load_dotenv
+load_dotenv()

xaea12/api/index.py

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+import datetime
+import time
+
+import requests
+from flask import Flask, jsonify
+import json
+
+import populartimes
+import googlemaps
+
+import os
+API_KEY = os.getenv("API_KEY")
+
+#app instance
+app = Flask(__name__)
+
+@app.route("/api/python")
+def hello_world():
+    return "<p>Hello, World!</p>"
+
+@app.route("/api/popular_times_demo", methods=['GET'])
+def delayed_api_req():
+    time.sleep(20)
+    response = [
+        {
+            "coordinates": {
+            "lat": 12.9682704,
+            "lng": 74.8065197
+            },
+            "weekly_sum": 5307
+        },
+        {
+            "coordinates": {
+            "lat": 12.9883174,
+            "lng": 74.8005921
+            },
+            "weekly_sum": 3800
+        },
+        {
+            "coordinates": {
+            "lat": 13.0223759,
+            "lng": 74.8079575
+            },
+            "weekly_sum": 5655
+        },
+        {
+            "coordinates": {
+            "lat": 12.9894559,
+            "lng": 74.8015439
+            },
+            "weekly_sum": 3798
+        },
+        {
+            "coordinates": {
+            "lat": 12.9743232,
+            "lng": 74.8036651
+            },
+            "weekly_sum": 4279
+        },
+        {
+            "coordinates": {
+            "lat": 12.9815466,
+            "lng": 74.8227607
+            },
+            "weekly_sum": 4314
+        },
+        {
+            "coordinates": {
+            "lat": 13.0010366,
+            "lng": 74.8260901
+            },
+            "weekly_sum": 5191
+        }
+    ]
+    return response
+
+
+@app.route("/api/popular_times_test", methods=['GET'])
+def weight_gen():
+    weights = []
+    pop_time = popular_times()
+
+    for index in range(len(pop_time)):
+        pop_time_temp = pop_time[index]
+        weight = {
+            "coordinates": pop_time_temp["coordinates"],
+            "weekly_sum": 0
+        }
+
+        for day_data in pop_time_temp["populartimes"]:
+            data_values = day_data["data"]
+            day_sum = sum(data_values)
+            weight["weekly_sum"] += day_sum
+
+        weights.append(weight)
+
+    return jsonify(weights)
+
+
+def popular_times():
+    [p1, p2] = geocode()
+    response = populartimes.get(API_KEY, ["bar"], p1, p2)
+    return response
+
+def geocode():
+    gmaps = googlemaps.Client(key=API_KEY)
+    geocode_response = gmaps.geocode(address="Surathkal")
+    geocode_response_dict = geocode_response[0]
+
+    northeast = geocode_response_dict["geometry"]["bounds"]["northeast"]
+    southwest = geocode_response_dict["geometry"]["bounds"]["southwest"]
+
+    p1 = (southwest["lat"], southwest["lng"])
+    p2 = (northeast["lat"], northeast["lng"])
+
+    return [p1, p2]
+
+if __name__ == "__main__":
+    app.run(debug=True)