Full Stack Development Projects in Karnataka
Full Stack Development Projects in Karnataka
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31
Anush | Foundrline
max
Foundrline — Build, Launch & Scale Digital Products
31
1.2K
1
Deepak Chandwani
pro
TrackMySpend - AI Powered Personal Finance Dashboard
1
17
0
Ankit S
ERG Spark
0
3
1
Saif Ali
pro
Jobly MVP Development in 2 Weeks
1
3
0
Prateek Shukla
HR- CRM
0
34
0
Aishwary Dhare
pro
Migration of ETL Pipelines to Apache Airflow
0
1
0
Gajendra Jena
pro
RG-Admin
0
22
0
Rushikesh Pandit
BingeMarathi - OTT Platform
0
4
0
Rayyan Khan
AEGIS AUTO MIND THE FUTURE OF AUTOMOBILE!!!!🚗🚗🚗
0
11
1
Adithya Ga
Focus Flow: Revolutionary Educational Technology Platform
1
2
0
Jyotirmaya Sahu
Hi there 👋 I’m a Full-Stack / Frontend Engineer with strong experience in React, dashboards, performance optimization, and applied AI. I’ve shared my portfolio and resume here — happy to discuss how I can help with your project. Looking forward to connecting!
0
4
0
Medhansh Singh
Vision-Cart V2: Neural Intelligence Platform Developed a high-end Visual Auditing dashboard for retail and industrial quality control. Unlike basic classifiers, this system performs Deep Feature Extraction—calculating metrics like caffeine content (mg), volume (ml), and shelf fill-levels. Edge-AI Mastery: Optimized to run Ollama (Moondream) locally on restricted hardware (2GB VRAM), ensuring total data privacy. Industrial UI: Built a 'Nuvion-Black' interface with real-time scanning animations and a horizontal Bento-grid for system vitals. Business Logic: Integrated a 'Neural Suggestion' engine to turn visual scans into automated inventory and QC decisions. Tags: #ComputerVision #EdgeAI #React #FastAPI #MachineLearning
0
40
0
Anish Kumar
This is added a contact dashboard on website
0
4
0
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
0
110
0
satwik sahoo
satwik16/code-editor
0
2
0
Adithya Krishna
Documenso
0
4
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