Hey ,
There.

Live Link :

https://bankingapplication.pynabyte.com/

---

Github Link :

https://github.com/AniqueKhan/banking_system_final

---

Description :

An AI-Powered Banking Application! Merging the power of Python, Django, and Machine Learning, this innovative project redefines the banking experience. Seamlessly open accounts, manage balances effortlessly, and receive real-time updates on loan applications and statuses via email and website notifications. What truly sets this project apart is the integration of machine learning, where a sophisticated model analyzes user data to determine loan approval, ensuring financial stability. Leveraging a curated dataset from Kaggle, our model, crowned by Linear Regression, outshines other algorithms in accuracy.
(For a comprehensive description , you can check the github link.)

Live Link :

https://www.instagramclone.pynabyte.com

---

Github Link :

https://github.com/AniqueKhan/instagram_clone_final

---

Description :

A website, built with Django for the backend and Bootstrap alongside custom CSS for the frontend, bears a striking resemblance to Instagram's web version, albeit with a subset of its features. It encompasses an authentication system facilitating login, logout, signup, and password modification. A feed reminiscent of Instagram presents content from followed users, with the ability to create posts supported by image or video uploads and tagging. Users can like and save posts, comment on them, and create carousels for multiple media. Profile pages allow following/unfollowing, showcasing own posts and saved content, and updating profile details. A search engine aids in discovering posts, tags, and users. An inbox permits messaging between users, with real-time chat updates. Notifications notify users of likes, comments, and follows, with an option to delete them. Additionally, a story feature akin to Instagram's allows creation and viewing of stories from followed users.
(For a comprehensive description , you can check the github link.)

Github Link :

https://github.com/AniqueKhan/fb-clone

---

Description :

I developed a full-featured Facebook clone as a personal project, with a robust backend powered by Django REST Framework for creating RESTful APIs and a modern, responsive frontend built using React.js and styled with Material-UI. The application offered comprehensive user management features, including secure signup and login functionality. Users could create posts, like, comment on, or share other users' posts, and send friend requests that could be accepted or rejected, mimicking Facebook's core social interactions. The platform also supported group functionality, with options for both public and private groups. Private groups required users to send join requests, and posts within these groups were subject to moderator approval, adding an additional layer of control. Additionally, users could create and manage their own pages to share content, offering versatility in how they interacted on the platform. A story feature allowed users to upload ephemeral content that could be viewed by their friends, adding another dynamic layer of engagement. This project encompassed a wide range of functionality and closely mirrored the features and user experience of Facebook, showcasing my ability to integrate complex backend logic with an intuitive frontend design.
(For a comprehensive description , you can check the github link.)

Github Link :

https://github.com/pynabyte/keylogger

---

Description :

A mobile security application built with Python Django for the backend and JavaScript with React Native for the frontend, designed to protect users from cyber threats. The app features seamless user authentication, including Google Sign-In, and offers advanced functionalities such as keylogger detection using a Random Forest Machine Learning Model with 88-90% accuracy, allowing users to scan mobile files for potential keyloggers. It also includes malware detection, enabling users to identify harmful files on their devices, and phishing URL detection, where users can enter any URL to check its safety. Additionally, the app provides an editable profile view for a personalized user experience. With machine learning integration, the app delivers reliable and proactive threat detection, ensuring a secure mobile environment. This project highlights expertise in full-stack development, machine learning integration, and cross-platform application design, offering an innovative solution to modern cybersecurity challenges.
(For a comprehensive description , you can check the github link.)

Github Link :

https://github.com/pynabyte/malware_detection

---

Description :

Malware Detection is a web application built with Django for the backend and HTML templates for the frontend, designed to enhance cybersecurity by providing robust malware and network scanning capabilities. The platform allows users to upload files and determines whether a file is malware using a Random Forest Machine Learning Model with 90% accuracy. It includes user authentication features, enabling users to sign up, log in, and securely access the platform. Additionally, the application offers a port scanning tool where users can input a URL to check which ports are open or closed, helping identify potential vulnerabilities. This project demonstrates expertise in backend development, machine learning integration, and cybersecurity, delivering a practical solution to enhance user safety and security.
(For a comprehensive description , you can check the github link.)

Live Link :

https://www.studentportal.pynabyte.com

---

Github Link :

https://github.com/AniqueKhan/student_portal_final

---

Description :

Explore another full-stack endeavor, the 'Student Portal', blending Python and Django for the backend, while Bootstrap and Custom CSS lend flair to the frontend. Think of it as your personalized Google Classroom, offering a range of features for both teachers and students. Easily navigate through signup, login, and password management. Teachers can create and tweak courses, organize them into categories, and keep students updated through a news feed. They can also craft quizzes, assignments, and pages, and effortlessly track student submissions. For students, enrolling in courses and accessing materials is a breeze. Dive into quizzes, assignments, and course content, and await feedback from instructors. Stay connected through direct messaging and engage in course-specific Q&A sessions, similar to Stack Overflow. And there's even more to explore beyond what's mentioned here.
(For a comprehensive description , you can check the github link.)