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render-deployment

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Not everyone can code, but everyone can learn. This Project is an AI powered DSA/Competitive Programming Helper with an inbuilt editor to help you prepare for Coding Interviews or just start coding. What's better? VIsualise Everything

  • Updated Jun 3, 2025
  • TypeScript

Mindful is a mental wellness app designed to support users in managing stress and anxiety. Powered by advanced AI, it offers personalized advice and a soothing music player for relaxation. Built with Node.js, PostgreSQL, and Firebase, Mindful follows clean architecture principles, ensuring a seamless and user-friendly experience.

  • Updated Apr 11, 2025
  • Dart

Student Management System is a full-stack Flask web application for managing student records with secure authentication and CRUD operations. It features a responsive Bootstrap-based UI, role-protected dashboards, and production deployment using Gunicorn on Render.

  • Updated Jan 5, 2026
  • HTML

RespireNet is an innovative web-based application that harnesses the capabilities of deep learning and Mel-frequency cepstral coefficients (MFCC) as a feature extraction technique for accurate respiratory disease prediction. The primary objective of this user-friendly web application is to facilitate early detection.

  • Updated Aug 2, 2023
  • Python

This repository accompanies the freeCodeCamp guide, “How to Deploy Your FastAPI + PostgreSQL App on Render: A Beginner’s Guide” by Preston Osoro. It provides a hands-on example of building and deploying a modular FastAPI backend integrated with PostgreSQL, using Render’s free-tier cloud services.

  • Updated May 23, 2025
  • Python

Chatzy is a real-time chat application built with the MERN stack, Socket.io, and Docker, featuring instant messaging, AI chatbot (Gemini API), OTP authentication, media sharing, and 30+ customizable themes. Users can search, filter online users, and update profiles, ensuring a seamless and interactive chat experience.

  • Updated Jan 2, 2026
  • JavaScript

Unlock the power of machine learning for predicting loan approvals. This repository hosts code and resources to streamline the loan approval process. Data scientists and enthusiasts can leverage this open-source project to enhance credit risk assessment models. Clone, predict, and contribute to revolutionize the future of loan approval systems.

  • Updated Mar 5, 2026
  • Jupyter Notebook

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