Projects using FastAPI in India
Projects using FastAPI in India
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Siddharth chopda
Full-Stack AI Engineering and Team Leadership
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5
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Yash Garg
I’m beyond excited to share one of the most innovative projects we’ve built – an AI-powered application that helps users effortlessly redesign and virtually stage their spaces! Whether you're looking to revamp an empty room or give your existing space a fresh look, this app offers the perfect solution. 🔹 Our Journey to Success This incredible tool was built by me and my amazing team of 5 talented individuals. We’ve successfully created it using the latest and most complex AI models and technologies. This tool is more than just a design app – it's a creative space that empowers users to reimagine their homes like never before. We’re thrilled to share this with the world and can’t wait for you to try it out and experience the future of home redesign. 🎉 #AI #Innovation #InteriorDesign #HomeRedesign #ArtificialIntelligence
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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
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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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110
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Ajay Kurchami
Enterprise RAG Document Intelligence Engine
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1
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Tanveer Singh
AI Powered Roundabout Traffic Monitoring Using YOLO and FastAPI
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4
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Manjusha Raavi
Document Summarizer/QA Assistant
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2
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Siddhesh Naik
XrossTalk Real-Time Dashboard Development
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Aakash Aggarwal
Customer Support AI Assistant (RAG Pipeline) Built a Retrieval-Augmented Generation (RAG) system to support customer-facing queries by grounding AI responses in internal documentation and knowledge bases. The system ingested structured and unstructured support content, generated embeddings, and retrieved relevant context at query time to produce accurate, consistent answers rather than generic model responses. The focus was on building a simple, maintainable pipeline with clear data flow and traceability, making it easy to debug incorrect answers, update knowledge sources, and iteratively improve response quality as documentation evolved.
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Kishan Chauhan
Cokora - Parent Consulting Platform
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Tamanna singh
AnimalVision App Development
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mohammed saleel
Web Scraping
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4
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Arpan Goswami
Smart Document Analyzer
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2
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Mayuri Gupta
Propscan
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Aayush Paigwar
FlexiRAG Development Project
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Akashdeep Das
pro
Chatterbox TTS: Real-Time Text-to-Speech Service
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20
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