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lokeshramchand-ctrl 2025-06-29 06:36:47 +05:30
parent 86270d6091
commit 30d34d4346
4 changed files with 5 additions and 74 deletions
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7
Backend/AI/predict_api.py
View file

@ -1,11 +1,10 @@
from flask import Flask, request, jsonify
import joblib # or pickle if you're using that
import sklearn # just to ensure compatibility if needed
import joblib
import sklearn
import numpy as np
# Load your trained model and vectorizer
model = joblib.load("model/category_model.pkl")
vectorizer = joblib.load("model/vectorizer.pkl") # if used
vectorizer = joblib.load("model/vectorizer.pkl")
app = Flask(__name__)

60
Backend/index.js
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@ -1,62 +1,4 @@
/*const express = require("express");
const cors = require("cors");
const dotenv = require("dotenv");
const connectDB = require("../config/db");
const http = require("http");
const TransRoutes = require("./routes/")
dotenv.config();
const app = express();
const server = http.createServer(app); // Pass `app` to `http.createServer`
// Connect Database
connectDB();
// Middleware
app.use(express.json());
app.use(cors());
// Routes
app.use("/api/transactions", TransRoutes);
// Start Server
const PORT = process.env.PORT || 5000;
server.listen(PORT, () => {
console.log(`✅ Server running on http://localhost:${PORT}`);
});
*/
/*
const express = require('express');
const mongoose = require('mongoose');
const app = express();
app.use(express.json()); // to parse JSON
const predictRoute = require('./routes/predict');
app.use('/api/predict', predictRoute);
mongoose.connect('mongodb://localhost:27017/chat', { useNewUrlParser: true, useUnifiedTopology: true });
// Define schema and model
const transactionSchema = new mongoose.Schema({
description: String,
amount: Number,
date: { type: Date, default: Date.now },
});
const Transaction = mongoose.model('Transaction', transactionSchema);
// POST endpoint to add transaction
app.post('/api/transaction/add', async (req, res) => {
try {
const newTransaction = new Transaction(req.body);
await newTransaction.save();
res.status(200).json({ message: 'Transaction saved', data: newTransaction });
} catch (err) {
res.status(500).json({ error: err.message });
}
});
app.listen(3000, () => {
console.log('Server running on port 3000');
});
*/
const express = require('express');
const mongoose = require('mongoose');
const axios = require('axios');
@ -79,7 +21,7 @@ const transactionSchema = new mongoose.Schema({
description: String,
amount: Number,
category: String, // 👈 added category
category: String,
date: { type: Date, default: Date.now },
});

10
Frontend/monarch/lib/homepage.dart
View file

@ -552,7 +552,6 @@ class _FinTrackHomePageState extends State<FinTrackHomePage>
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
// Header
Row(
mainAxisAlignment: MainAxisAlignment.spaceBetween,
children: [
@ -561,15 +560,6 @@ class _FinTrackHomePageState extends State<FinTrackHomePage>
children: [
Text(
'Good Morning! 👋',
style: GoogleFonts.inter(
color: textSecondary,
fontSize: 16,
fontWeight: FontWeight.w400,
),
),
const SizedBox(height: 4),
Text(
'Alex Johnson',
style: GoogleFonts.inter(
color: primaryColor,
fontSize: 24,

2
Frontend/monarch/lib/static.dart
View file

@ -48,7 +48,6 @@ class StatisticsState extends State<Statistics> with TickerProviderStateMixin {
late AnimationController _animationController;
late Animation<double> _fadeAnimation;
late Animation<Offset> _slideAnimation;
var budget = 10000.0;
final List<String> categories = [
'Food',
'Shopping',
@ -304,6 +303,7 @@ class StatisticsState extends State<Statistics> with TickerProviderStateMixin {
);
}
var budget = 10000.0 > 0 ? 10000.0 : 0.0;
Widget _buildTotalSpentCard() {
final totalSpent = transactions.fold<double>(
0,