Backend Development Projects in Telangana
Backend Development Projects in Telangana
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Bhargav P
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Nextbase SaaS boilerplate
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108
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Raunak Hajela
Blitzit (Figma to Mac/Windows app)
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5
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Abhishek Kumar
Built NexCart, a production-ready e-commerce platform with secure Polar payments, automated order fulfillment via webhooks, per-order Stream support chat, and video calling. Includes an admin dashboard with ImageKit image management and role-based access. Stack: Node.js, TypeScript, Express, PostgreSQL, React, Clerk, Tailwind CSS. Deployed on Railway.
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TULASI KRISHNAKUMAR
Created an automated reconnaissance and asset discovery engine that integrates offensive utilities with AI-driven threat triage. Built a FastAPI backend backed by Celery and Redis to execute heavy subdomain discovery (subfinder), port scanning (httpx), and web crawling (katana) concurrently. Configured a PostgreSQL ledger to store asset records and integrated OpenAI/Ollama APIs to parse raw logs, filter out false positives, and suggest potential exploit targets. Exposes a clean REST API for configuring targets and viewing crawled subdomains.
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Rishik Siddabathuni
π· Project Title: InternHub β AI-Powered Internship Marketplace π· Category: π Marketplace π· What the App Does: InternHub is an AI-powered internship marketplace designed to connect students with relevant internship opportunities posted by companies. The platform allows students to create profiles, upload resumes, and apply for internships, while companies can post internship listings and manage applications efficiently. The system also includes an AI-based matching feature that evaluates the compatibility between a studentβs skills and internship requirements, providing a match score to improve decision-making for both students and recruiters. π· Key Features: π¨βπ Student Side: User registration and login Profile creation with skills and resume upload Browse internship listings Apply for internships with one click View application status (Pending / Accepted / Rejected)π’ Company Side: Company registration and login Post internship opportunities Define required skills, role, and location View and manage student applications Shortlist or reject candidates π€ AI Feature: AI-based Skill Matching System Generates a match score between student profile and internship requirements Helps students understand their suitability for roles Improves internship recommendations π Dashboard System: Separate dashboards for Students and Companies Clean and intuitive UI for easy navigation Centralized application tracking system π· How It Was Built: The application was built using Bubble AI App Builder as the foundation. The initial AI-generated internship marketplace provided the basic structure, including authentication, job listings, and dashboards. On top of this base, enhancements were made by: Adding AI-based skill matching logic Improving UI layout for a modern dashboard experience Strengthening application workflow (apply β review β decision) Structuring a more realistic marketplace flow Why This Project: InternHub solves a real-world problem faced by students β finding relevant internships efficiently. Many students apply randomly without knowing their suitability. This platform introduces AI-driven matching to improve both opportunity discovery and hiring efficiency. Tech/Platform Used: Bubble AI (No-code development platform) AI logic for matching system Database-driven marketplace structure Impact: InternHub simplifies internship discovery, improves application quality, and reduces the gap between students and companies by introducing intelligent matching between skills and opportunities.
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Mubashir Ahmed
I built an AI-powered data enrichment system that efficiently processes and improves large university datasets. It automates the entire enrichment workflow, handles structured data cleanly, and gives real-time logs so you can easily monitor what's happening in the pipelines. The main goal was to make the whole process scalable, automated, and easy to manage. I created a clean dashboard where users can track everything, which really helps improve data quality and gives full visibility into the operations. Key Highlights: AI-driven data enrichment workflows Real-time processing logs and activity monitoring Structured university data management Automated backend pipelines Clean dashboard for monitoring and control Scalable and efficient architecture Tech Stack: Node.js, Express.js, MongoDB, JavaScript, REST APIs, AI Automation Tools
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Jaya Lakshmi
I developed a Legal Document Automation web application designed to simplify and streamline the process of creating professional legal documents for small businesses and freelancers. The platform enables users to generate documents such as contracts and NDAs using smart, customizable templates. The system features dynamic form inputs that automatically populate legal content based on user requirements, reducing manual effort and errors. It also includes PDF generation and e-signature integration, allowing users to create, sign, and manage documents digitally in a seamless workflow. On the backend, I implemented efficient document processing using Node.js and Express, ensuring smooth handling of data and secure operations. The application is designed with a user-friendly interface, making complex legal processes accessible even for non-technical users. Overall, this project demonstrates my ability to build practical, end-to-end web solutions that combine automation, backend logic, and user-centric design to solve real-world problems.
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Sai Bandaru
Full-Stack Developer for Food Rescue Platform
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7
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Rahul Hrushikesh
Exterview - Video Call Web App
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8
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Leela Venkatesh Atchutha
Azure Function: PDF Generator
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3
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Sree charan reddy Pacharla
sreecharan7/socialMediaBackend
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3
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Venkata Ganapathi Surya Gunda
Local Shops App
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1
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Varun Kodi
Solana Blockchain Token
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6
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Ankush Singh
Room Booking App
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3
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Dumpa Krishna Reddy
Krishnareddy4602/QATesting
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7
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Hakimuddin Sohangpurwala
Inventory Management System
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1
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