Lost and Found App - Portfolio Project Overview

Project Description

A Lost and Found mobile application built with Flutter and Firebase, designed to help users report lost items, search for found items, and connect with others to recover their belongings. The app includes features like real-time search, filters, location-based tracking, messaging, and post management.

Key Features

User Authentication

Secure login/signup using Firebase Authentication.
User profiles with profile pictures and personal details.

Post Management

Users can create, edit, and delete posts for lost or found items.
Posts include images, descriptions, categories, and locations.

Search & Filtering

Real-time search with keyword matching.
Advanced filters (category, location, date range, age range).
Location-based suggestions using geolocation (Geocoding & Geolocator).

Messaging System

In-app chat between users to discuss lost/found items.
Unread message indicators for better user engagement.

Bookmarking & Sharing

Users can save posts for later reference.
Share posts via external apps (WhatsApp, email, etc.).

Responsive UI/UX

Clean, intuitive design with custom widgets (carousel for images, read-more captions).
Pull-to-refresh and infinite scroll for smooth browsing.

Admin & Moderation

Users can report or delete posts if necessary.

Technical Stack

Frontend

Flutter (Dart) – Cross-platform mobile development.
State Management – Built-in setState for simplicity.
UI Components – Custom widgets (BuildPostContainer, SearchFilterManager).

Backend & Database

Firebase Authentication – User login/signup.
Cloud Firestore – Real-time NoSQL database for posts, users, and chats.
Firebase Storage – Stores images uploaded by users.

APIs & Libraries

Geolocator & Geocoding – For location tracking and city detection.
Carousel Slider – Displays multiple images in a post.
Share_Plus – Enables post sharing.
Search Choices – Dropdown search for location filtering.

Challenges & Solutions

1. Real-Time Search & Filtering

Problem: Needed efficient filtering without excessive Firestore reads.
Solution: Implemented client-side filtering for offline support and Firestore queries for dynamic results.

2. Location-Based Features

Problem: Getting accurate city names from coordinates.
Solution: Used Geocoding API to convert GPS data into readable addresses.

3. Chat System

Problem: Managing real-time messages between users.
Solution: Used Firestore’s real-time updates with a chatRooms collection.

Zuljamal | Expert in Flutter App Development

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