Backend Development Projects in Bengaluru
Backend Development Projects in Bengaluru
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Rishabh Bothra
Tidychat - Better & Budget Custom ChatGPT to 10x Productivity
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24
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Gokul Shivappa
HFG Vault - Secure Client Portal
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35
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Subhradip Roy
pro
Qlik to PHP Legacy Migration & Architecture Recovery
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1
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Himanshu Kumar
pro
Secure Auth & Multi-Tenant System for Industrial SaaS
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6
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Ankit S
Production-ready Microsoft Teams Bots or Apps
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4
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Raj Pathak
pro
Custom Integration Workflow Using Make.com
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12
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Daxesh V
pro
Something I’ve learned working with clients: They rarely need “fancy.” They need results. Two weeks ago, a client came to us overwhelmed by their data. They had sales data scattered across spreadsheets, apps, screenshots, and random exports. They were making decisions based on guesses, not facts. We built them an e-commerce sales dashboard that cuts straight to what matters — revenue trends, top products, customer behavior, and real conversions. And here’s the lesson: Most businesses aren’t struggling because they lack data. They’re struggling because they can’t understand it. Once you turn information into clarity, everything else becomes easier. And we’re not done yet. AI-driven sales insights are coming next. Stay tuned.
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184
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Paiteq Pvt Ltd
Multi-Store Grocery App like UberEats or Walmart
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23
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Aishwary Dhare
pro
Migration of ETL Pipelines to Apache Airflow
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5
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Prateek Shukla
HR- CRM
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36
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Shivam Tiwari
Communiticate - AI-Powered Customer Engagement Platform
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62
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Ashish Sharma
Wakami Multi-Service Marketplace
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3
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Shikshita Juyal
Website Setup for Blend Studio
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19
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Abhay Kumar Gupta
FinTrace — Enterprise Wealth Ledger & Core Analytics Pipeline
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1
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Uday G
A simple landing page for a Marathon Event with the functioning Backend and payment gateway.
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29
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Sinchana T
Project Goal: Designed and developed a full-stack, AI-powered e-waste management platform to promote responsible electronic waste disposal while enabling value recovery, recycling discovery, and convenient pickup services. • Built RESTful backend APIs using FastAPI / Node.js for authentication, classification workflows, facility management, pickup scheduling, and marketplace operations • Integrated an AI image classification model to categorize e-waste into recyclable, reusable, or hazardous types • Implemented a facility locator with map integration to identify nearby certified recycling centers • Developed a rule-based value estimation engine for resale and scrap pricing • Created a slot-based pickup scheduling system with confirmation flow • Integrated Razorpay payment gateway for secure online transactions
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126
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