Slash-app by team Deityz

Deityz/README.md

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+# Pitch-to-SBI-Hackathon
+
+#### Team Name - Deityz
+#### Problem Statement - Real-Time High Scale Financial Fraud Risk Management 
+#### Team Leader Email - [email protected]
+
+## A Brief of the Prototype:
+  There is a home.dart page which have the entries for predicting whether the payment we are about to make is fraudulent or not.
+
+## Tech Stack: 
+  Flutter, Firebase, Numpy, Pandas, Flask 
+
+## Step-by-Step Code Execution Instructions:
+	Requirements:
+	Flutter sdk
+	Android sdk
+
+	1. git clone repo
+	2. cd frauddetectionapp
+	3. run commands flutter clean & flutter pub get
+	4. run the main.dart which is in lib folder to check the results
+	5. same process for e-commerce app
+
+## What I Learned:
+   This project helped our team to explore many parts of flutter including its integration with machine learning.
+   The project also included machine learning concepts.
+

Deityz/api/api.py

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+# make an api which uses ml model pkl file which i have to predict the result and show it to flutter app
+# import the necessary packages
+from flask import Flask, request, jsonify
+import pickle
+import numpy as np
+import pandas as pd
+
+
+# initialize our Flask application
+app = Flask(__name__)
+# load the model from disk
+model = pickle.load(open('/home/ambuj/projects/Fraud-Detection-on-Bank-Payment', 'rb'))
+
+@app.route('/predict', methods=['POST'])
+def predict():
+    try:
+        # Get data from the Flutter app as JSON
+        data = request.get_json()
+
+        # Extract the input features from the JSON data
+        input_data = data['input_data']
+
+        # Use your loaded model to make predictions
+        prediction = model.predict([input_data])
+
+        # Format the prediction as needed
+        response = {
+            'prediction': prediction.tolist()
+        }
+
+        return jsonify(response)
+    except Exception as e:
+        return jsonify({'error': str(e)})
+
+if __name__ == '__main__':
+    app.run(debug=True)

Deityz/api/api2.py

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+# api.py
+
+import pickle
+
+import numpy as np
+from flask import Flask, jsonify, request
+from sklearn.calibration import LabelEncoder
+
+app = Flask(__name__)
+model = pickle.load(open('log-reg-model2.pkl', 'rb'))
+customer= pickle.load(open('customer_encoder.pkl', 'rb'))
+gender = pickle.load(open('gender_encoder.pkl', 'rb'))
+merchant = pickle.load(open('merchant_encoder.pkl', 'rb'))
+category = pickle.load(open('category_encoder.pkl', 'rb'))
+age = pickle.load(open('age_encoder.pkl', 'rb'))
+@app.route('/predict', methods=['GET'])
+def predict():
+    try:
+        input1 = request.args['input1']
+        input2 = request.args['input2']
+        input3 = request.args['input3']
+        input4 = request.args['input4']
+        input5 = request.args['input5']
+        input6 = float(request.args['input6'])
+
+        input1=210 #customer
+        input2=4 #age
+        input3=2 # gender
+        input4=30 # merchant
+        input5=12 #category
+        # Replace with your prediction logic here
+        # change the list of inputs to np array
+        # ['amount','category','merchant','gender','age','customer'] this is the order
+        arr = np.array([input6, input5, input4, input3,input2,input1]).reshape(1, -1)
+        prediction = str(model.predict(arr))
+
+        response_data = {'prediction': prediction}
+        return (response_data), 200
+    except Exception as e:
+        return {'error': str(e)}, 400
+
+
+# from flask import Flask, request, jsonify
+# import pickle
+# from sklearn.calibration import LabelEncoder
+
+# app = Flask(__name__)
+# model = pickle.load(open('log-reg-model2.pkl', 'rb'))
+
+# @app.route('/predict', methods=['GET'])
+# def predict():
+#     try:
+#         input1 = request.args.get('input1')
+#         input2 = request.args.get('input2')
+#         input3 = request.args.get('input3')
+#         input4 = request.args.get('input4')
+#         input5 = request.args.get('input5')
+#         input6 = float(request.args.get('input6'))
+
+#         # You don't need to use LabelEncoder if your model doesn't require it.
+#         # If you do need to encode categorical data, use it appropriately.
+
+#         # Replace with your prediction logic here
+#         prediction = model.predict([[input1, input2, input3, input4, input5, input6]])
+
+#         response_data = {'prediction': str(prediction)}
+#         return jsonify(response_data), 200
+#     except Exception as e:
+#         return jsonify({'error': str(e)}), 400
+
+if __name__ == '__main__':
+    app.run(debug=True)

Deityz/e-commerce app/app-master/.gitignore

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+# Miscellaneous
+*.class
+*.log
+*.pyc
+*.swp
+.DS_Store
+.atom/
+.buildlog/
+.history
+.svn/
+
+# IntelliJ related
+*.iml
+*.ipr
+*.iws
+.idea/
+
+# The .vscode folder contains launch configuration and tasks you configure in
+# VS Code which you may wish to be included in version control, so this line
+# is commented out by default.
+#.vscode/
+
+# Flutter/Dart/Pub related
+**/doc/api/
+**/ios/Flutter/.last_build_id
+.dart_tool/
+.flutter-plugins
+.flutter-plugins-dependencies
+.packages
+.pub-cache/
+.pub/
+/build/
+
+# Web related
+lib/generated_plugin_registrant.dart
+
+# Symbolication related
+app.*.symbols
+
+# Obfuscation related
+app.*.map.json
+
+# Android Studio will place build artifacts here
+/android/app/debug
+/android/app/profile
+/android/app/release

Deityz/e-commerce app/app-master/.metadata

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+# This file tracks properties of this Flutter project.
+# Used by Flutter tool to assess capabilities and perform upgrades etc.
+#
+# This file should be version controlled and should not be manually edited.
+
+version:
+  revision: 5464c5bac742001448fe4fc0597be939379f88ea
+  channel: stable
+
+project_type: app

Deityz/e-commerce app/app-master/README.md

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+

Deityz/e-commerce app/app-master/analysis_options.yaml

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+# This file configures the analyzer, which statically analyzes Dart code to
+# check for errors, warnings, and lints.
+#
+# The issues identified by the analyzer are surfaced in the UI of Dart-enabled
+# IDEs (https://dart.dev/tools#ides-and-editors). The analyzer can also be
+# invoked from the command line by running `flutter analyze`.
+
+# The following line activates a set of recommended lints for Flutter apps,
+# packages, and plugins designed to encourage good coding practices.
+include: package:flutter_lints/flutter.yaml
+
+linter:
+  # The lint rules applied to this project can be customized in the
+  # section below to disable rules from the `package:flutter_lints/flutter.yaml`
+  # included above or to enable additional rules. A list of all available lints
+  # and their documentation is published at
+  # https://dart-lang.github.io/linter/lints/index.html.
+  #
+  # Instead of disabling a lint rule for the entire project in the
+  # section below, it can also be suppressed for a single line of code
+  # or a specific dart file by using the `// ignore: name_of_lint` and
+  # `// ignore_for_file: name_of_lint` syntax on the line or in the file
+  # producing the lint.
+  rules:
+    # avoid_print: false  # Uncomment to disable the `avoid_print` rule
+    # prefer_single_quotes: true  # Uncomment to enable the `prefer_single_quotes` rule
+
+# Additional information about this file can be found at
+# https://dart.dev/guides/language/analysis-options

Deityz/e-commerce app/app-master/android/.gitignore

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+gradle-wrapper.jar
+/.gradle
+/captures/
+/gradlew
+/gradlew.bat
+/local.properties
+GeneratedPluginRegistrant.java
+
+# Remember to never publicly share your keystore.
+# See https://flutter.dev/docs/deployment/android#reference-the-keystore-from-the-app
+key.properties
+**/*.keystore
+**/*.jks

Deityz/e-commerce app/app-master/android/app/build.gradle

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+def localProperties = new Properties()
+def localPropertiesFile = rootProject.file('local.properties')
+if (localPropertiesFile.exists()) {
+    localPropertiesFile.withReader('UTF-8') { reader ->
+        localProperties.load(reader)
+    }
+}
+
+def flutterRoot = localProperties.getProperty('flutter.sdk')
+if (flutterRoot == null) {
+    throw new GradleException("Flutter SDK not found. Define location with flutter.sdk in the local.properties file.")
+}
+
+def flutterVersionCode = localProperties.getProperty('flutter.versionCode')
+if (flutterVersionCode == null) {
+    flutterVersionCode = '1'
+}
+
+def flutterVersionName = localProperties.getProperty('flutter.versionName')
+if (flutterVersionName == null) {
+    flutterVersionName = '1.0'
+}
+
+apply plugin: 'com.android.application'
+apply plugin: 'kotlin-android'
+apply from: "$flutterRoot/packages/flutter_tools/gradle/flutter.gradle"
+
+android {
+    compileSdkVersion flutter.compileSdkVersion
+
+    compileOptions {
+        sourceCompatibility JavaVersion.VERSION_1_8
+        targetCompatibility JavaVersion.VERSION_1_8
+    }
+
+    kotlinOptions {
+        jvmTarget = '1.8'
+    }
+
+    sourceSets {
+        main.java.srcDirs += 'src/main/kotlin'
+    }
+
+    defaultConfig {
+        // TODO: Specify your own unique Application ID (https://developer.android.com/studio/build/application-id.html).
+        applicationId "com.pawan.ammaFood"
+        minSdkVersion 19
+        targetSdkVersion flutter.targetSdkVersion
+        versionCode flutterVersionCode.toInteger()
+        versionName flutterVersionName
+        multiDexEnabled true
+    }
+
+    buildTypes {
+        release {
+            // TODO: Add your own signing config for the release build.
+            // Signing with the debug keys for now, so `flutter run --release` works.
+            signingConfig signingConfigs.debug
+        }
+    }
+}
+
+flutter {
+    source '../..'
+}
+
+dependencies {
+    implementation "org.jetbrains.kotlin:kotlin-stdlib-jdk7:$kotlin_version"
+}
+apply plugin: 'com.google.gms.google-services'

Deityz/e-commerce app/app-master/android/app/google-services.json

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+{
+  "project_info": {
+    "project_number": "306266811283",
+    "project_id": "fraud-detection-app-c1ea2",
+    "storage_bucket": "fraud-detection-app-c1ea2.appspot.com"
+  },
+  "client": [
+    {
+      "client_info": {
+        "mobilesdk_app_id": "1:306266811283:android:176c33b8f1fa1d79da5666",
+        "android_client_info": {
+          "package_name": "com.pawan.ammaFood"
+        }
+      },
+      "oauth_client": [
+        {
+          "client_id": "306266811283-al3jmtfhlcimfp9sb48o1q1jjb761flv.apps.googleusercontent.com",
+          "client_type": 3
+        }
+      ],
+      "api_key": [
+        {
+          "current_key": "AIzaSyBP30QrG4ZBkmqfKsY1HBTvt1x5H02NR_c"
+        }
+      ],
+      "services": {
+        "appinvite_service": {
+          "other_platform_oauth_client": [
+            {
+              "client_id": "306266811283-al3jmtfhlcimfp9sb48o1q1jjb761flv.apps.googleusercontent.com",
+              "client_type": 3
+            }
+          ]
+        }
+      }
+    }
+  ],
+  "configuration_version": "1"
+}

Deityz/e-commerce app/app-master/android/app/src/debug/AndroidManifest.xml

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+<manifest xmlns:android="http://schemas.android.com/apk/res/android"
+    package="com.example.quick_order">
+    <!-- Flutter needs it to communicate with the running application
+         to allow setting breakpoints, to provide hot reload, etc.
+    -->
+    <uses-permission android:name="android.permission.INTERNET"/>
+</manifest>

Deityz/e-commerce app/app-master/android/app/src/main/AndroidManifest.xml

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+<manifest xmlns:android="http://schemas.android.com/apk/res/android"
+    package="com.example.quick_order">
+   <application
+        android:label="SLASH"
+        android:name="${applicationName}"
+        android:icon="@mipmap/ic_launcher">
+        <activity
+            android:name=".MainActivity"
+            android:exported="true"
+            android:launchMode="singleTop"
+            android:theme="@style/LaunchTheme"
+            android:configChanges="orientation|keyboardHidden|keyboard|screenSize|smallestScreenSize|locale|layoutDirection|fontScale|screenLayout|density|uiMode"
+            android:hardwareAccelerated="true"
+            android:windowSoftInputMode="adjustResize">
+            <!-- Specifies an Android theme to apply to this Activity as soon as
+                 the Android process has started. This theme is visible to the user
+                 while the Flutter UI initializes. After that, this theme continues
+                 to determine the Window background behind the Flutter UI. -->
+            <meta-data
+              android:name="io.flutter.embedding.android.NormalTheme"
+              android:resource="@style/NormalTheme"
+              />
+            <intent-filter>
+                <action android:name="android.intent.action.MAIN"/>
+                <category android:name="android.intent.category.LAUNCHER"/>
+            </intent-filter>
+        </activity>
+        <!-- Don't delete the meta-data below.
+             This is used by the Flutter tool to generate GeneratedPluginRegistrant.java -->
+        <meta-data
+            android:name="flutterEmbedding"
+            android:value="2" />
+    </application>
+</manifest>