Machine Learning Engineering Projects in India
Machine Learning Engineering Projects in India
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4
Sahil Sharma
pro
Claude is becoming our default choice for business AI agents. Just finished an AI Sales Agent that: - captures website leads - qualifies them automatically - updates the CRM - tracks follow-ups - generates conversion reports The biggest win wasn’t AI conversation quality. It was eliminating the “who owns this lead?” problem. Built with Claude + automation workflows + CRM integration.
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Rishabh Bothra
PayoutMate: Guaranteed Payments & Escrow for Freelancers
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Mayank Tiwari
Career PathFinder: Explainable AI Career Roadmaps
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Rajaraman Arumugam
pro
Orbit | ML model monitoring dashboard | Dark UI
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5
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Karan Singh
1. What it is: An advanced e-commerce web app that combines Graph Neural Networks (GNNs) and Generative AI to identify "toxic inventory"—products, sizes, or suppliers driving high customer returns. 2. GNN Predictive Modeling: Built a heterogeneous GNN using PyTorch Geometric to model relationships between customer demographics and product features to predict future return risks. 3. AI Attribute Enrichment: Automated a metadata extraction pipeline using the Gemini API with local caching to parse raw HTML product descriptions into structured product features (fabric, fit, pattern). 4. Interactive Dashboard & Reporting: Developed a Streamlit dashboard with Supabase Auth and integrated ReportLab to generate boardroom-ready PDF return audit reports. 5. Tech Stack: Python, PyTorch Geometric, Streamlit, Gemini API, Supabase, ReportLab.
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Ajay Bidyarthy
A multi-tenant architecture is a software architecture where a single application instance serves multiple customers (tenants) while keeping each tenant's data and configuration isolated. Example Imagine a SaaS CRM platform: - Company A uses the CRM. - Company B uses the same CRM. - Company C uses the same CRM. All three companies share the same application, but: -> Their users only see their own data. -> Their settings, branding, and permissions can be different. -> The platform provider maintains only one codebase.
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Zillion Infotech
Antidote- Healthcare ◆ Context & Challenge The client needed a scalable digital healthcare platform to provide affordable and accessible medical services through a virtual-first model. The challenge was to deliver reliable, real-time telehealth services while ensuring data security, clinical accuracy, and seamless patient-doctor interactions across web and mobile platforms. ◆ Approach & Solution We developed an AI-powered telehealth platform that enables patients to access medical care, connect with clinicians, and manage their health digitally through a unified and secure system. ◆ Key focus areas: ‣ AI-assisted patient screening and clinical decision support ‣ 24/7 access to virtual healthcare services ‣ Seamless video consultation and communication workflows ‣ Integrated system for appointments, prescriptions, and records ‣ Scalable and secure healthcare infrastructure ◆ Execution ‣ Built telehealth platform for real-time video consultations ‣ Developed AI-driven symptom screening and support systems ‣ Implemented patient management for appointments and records ‣ Created secure infrastructure compliant with healthcare standards ‣ Designed scalable architecture for continuous care and access ◆ Outcome & Impact The platform enables patients to access quality healthcare services anytime, anywhere, at an affordable cost. ‣ Improved access to primary and urgent care services ‣ Reduced healthcare costs through virtual-first approach ‣ Enhanced patient experience with seamless digital interactions ‣ Enabled continuous care for chronic and preventive health needs ‣ Scalable solution supporting growing patient demand
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Anurag Nagare
Everyone's building AR filters and calling it "computer vision magic." Almost nobody's asking what's actually happening underneath — that most of these effects are just clever masking, not detection. Here's proof. I built an invisibility cloak that runs entirely in the browser, no green screen, no chroma key, no model training. https://github.com/AnuragNagare/Ghost-frame
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Anjali Nimje
pro
Built a computer vision application that detects and identifies objects in images using YOLO and OpenCV. The application displays detected objects along with confidence scores and provides a visual summary of the detection results. This project is currently being expanded to support video and webcam-based detection.
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Chhavi Verma
Heart Disease Prediction Machine Learning Model
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Aswin Shine
YouTube Sentiment : Chrome extension backed by an MLOps pipeline
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7
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Shashwat Srivastava
DL-Based Solution for Detection of Face-Swap Deep Fake Photos
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Omar Hashmi
An end-to-end AI system that predicts rockfall risk using environmental data, sensor analytics, and drone imagery, with real-time visualization and automated alerting for mining safety operations.
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Rishabh Bhandari
Key Phrase Extractor
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Abu Aasif Ansari
Anomaly Review & Action Console (Retool + AI)
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Dhuruv Kumar gupta
I have create this software to track the expense as well the ai implemented in this software will recommend you the good option for the investment.
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