🤝 Online Food Order System – Python / Django
A Django-based web app that automates ordering for restaurants/cafés. Users can view the menu, place orders, give feedback; staff/admin manage menu, orders & bills.
Key Features
• Phone-number based user authentication
• Menu management (add/edit/delete items, categories, images, price)
• Order & bill generation with tracking of order count per user
• Customer feedback & rating system
• Admin dashboard to manage everything (menu, orders, bills, reviews)
🔗 Explore the full project here:
Online Food Order System – View Project
https://t.me/Projectwithsourcecodes
#Python #Django #FoodOrdering #WebApp #RestaurantTech #FullStack #SourceCode #ProjectShowcase #OrderManagement #UserFeedback
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A Django-based web app that automates ordering for restaurants/cafés. Users can view the menu, place orders, give feedback; staff/admin manage menu, orders & bills.
Key Features
• Phone-number based user authentication
• Menu management (add/edit/delete items, categories, images, price)
• Order & bill generation with tracking of order count per user
• Customer feedback & rating system
• Admin dashboard to manage everything (menu, orders, bills, reviews)
🔗 Explore the full project here:
Online Food Order System – View Project
https://t.me/Projectwithsourcecodes
#Python #Django #FoodOrdering #WebApp #RestaurantTech #FullStack #SourceCode #ProjectShowcase #OrderManagement #UserFeedback
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Best Game Recommender System Using Machine Learning
A simple project on the Game Recommender System that leverages data-driven techniques to suggest games based on user preferences
🤝 Game Recommender System – Python / Streamlit
A machine learning-based project that recommends video games to users based on their interests and preferences. It uses collaborative and content-based filtering techniques to deliver personalized game suggestions through an interactive Streamlit web app.
Key Features
• Personalized game recommendations
• Collaborative & content-based filtering models
• Real dataset integration for accurate results
• Streamlit-based interactive user interface
• Modular and easy-to-customize code structure
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Game Recommender System – View Project
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https://t.me/Projectwithsourcecodes
#Python #MachineLearning #Streamlit #RecommendationSystem #GameRecommender #DataScience #AI #MLProject #SourceCode #ProjectShowcase
A machine learning-based project that recommends video games to users based on their interests and preferences. It uses collaborative and content-based filtering techniques to deliver personalized game suggestions through an interactive Streamlit web app.
Key Features
• Personalized game recommendations
• Collaborative & content-based filtering models
• Real dataset integration for accurate results
• Streamlit-based interactive user interface
• Modular and easy-to-customize code structure
🔗 Explore the full project here:
Game Recommender System – View Project
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https://t.me/Projectwithsourcecodes
#Python #MachineLearning #Streamlit #RecommendationSystem #GameRecommender #DataScience #AI #MLProject #SourceCode #ProjectShowcase
🤝 Turf Booking System – Python
A dynamic web-based system designed for booking sports turfs efficiently. Built using Python and Django, this project allows users to check turf availability, make reservations, and manage bookings seamlessly.
Key Features
• User-friendly turf booking interface
• Admin panel for managing turfs and users
• Booking confirmation and history tracking
• Secure login and authentication
• Real-time slot availability check
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Turf Booking System – View Project
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https://t.me/Projectwithsourcecodes
#Python #Django #TurfBooking #SportsApp #WebApp #BookingSystem #SourceCode #CodingProjects #ProjectShowcase #PythonProjects
A dynamic web-based system designed for booking sports turfs efficiently. Built using Python and Django, this project allows users to check turf availability, make reservations, and manage bookings seamlessly.
Key Features
• User-friendly turf booking interface
• Admin panel for managing turfs and users
• Booking confirmation and history tracking
• Secure login and authentication
• Real-time slot availability check
🔗 Explore the full project here:
Turf Booking System – View Project
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https://t.me/Projectwithsourcecodes
#Python #Django #TurfBooking #SportsApp #WebApp #BookingSystem #SourceCode #CodingProjects #ProjectShowcase #PythonProjects
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Best Warehouse Management System using Python & Django
A simple project on Warehouse Management, an open-source Warehouse Management System (WMS) backend developed using Python and the
🤝 Warehouse Management System – Python / Django
A web application built with Django that helps businesses manage their warehouse operations — tracking stock, orders, shipments, and inventory status efficiently.
Key Features
• Product & category management with stock levels
• Supplier & purchase order tracking
• Inventory in/out log with adjustments
• Dashboard view for low stock & reorder alerts
• User login and role-based access
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Warehouse Management System – View Project
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https://t.me/Projectwithsourcecodes
#Python #Django #Warehouse #InventoryManagement #WebApp #FullStack #SourceCode #ProjectShowcase #LogisticsTech
A web application built with Django that helps businesses manage their warehouse operations — tracking stock, orders, shipments, and inventory status efficiently.
Key Features
• Product & category management with stock levels
• Supplier & purchase order tracking
• Inventory in/out log with adjustments
• Dashboard view for low stock & reorder alerts
• User login and role-based access
🔗 Explore the full project here:
Warehouse Management System – View Project
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https://t.me/Projectwithsourcecodes
#Python #Django #Warehouse #InventoryManagement #WebApp #FullStack #SourceCode #ProjectShowcase #LogisticsTech
🤝 Oral Cancer Detection – Python / Deep Learning
A deep-learning project that analyses oral cavity images to detect and localise potential cancerous lesions using CNN architectures. It helps automate early screening by classifying images (benign vs malignant) and providing segmentation/localisation to assist clinicians and researchers.
Key Features
• Image preprocessing: ROI extraction, augmentation, normalization
• CNN classification (e.g., ResNet / EfficientNet) for malignancy prediction
• Segmentation module (U-Net style) to highlight affected regions
• Model evaluation with accuracy, precision, recall & confusion matrix
• Optional web interface for image upload and instant prediction
🔗 Explore the full project here:
Oral Cancer Detection – View Project
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https://t.me/Projectwithsourcecodes
#Python #DeepLearning #ComputerVision #OralCancer #HealthcareAI #MedicalImaging #CNN #UNet #MLProject #DataScience #AIForGood #ProjectShowcase
A deep-learning project that analyses oral cavity images to detect and localise potential cancerous lesions using CNN architectures. It helps automate early screening by classifying images (benign vs malignant) and providing segmentation/localisation to assist clinicians and researchers.
Key Features
• Image preprocessing: ROI extraction, augmentation, normalization
• CNN classification (e.g., ResNet / EfficientNet) for malignancy prediction
• Segmentation module (U-Net style) to highlight affected regions
• Model evaluation with accuracy, precision, recall & confusion matrix
• Optional web interface for image upload and instant prediction
🔗 Explore the full project here:
Oral Cancer Detection – View Project
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https://t.me/Projectwithsourcecodes
#Python #DeepLearning #ComputerVision #OralCancer #HealthcareAI #MedicalImaging #CNN #UNet #MLProject #DataScience #AIForGood #ProjectShowcase