Machine Learning Engineering Projects in India
Machine Learning Engineering Projects in India
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Rishabh Bothra
PayoutMate: Guaranteed Payments & Escrow for Freelancers
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13
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Tvaron Technologies
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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990
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Jagwinder Singh
Digital Business Card – Kardly iOS app that lets you scan, digitize and manage physical business cards using your phone’s camera with OCR and QR code features. -- https://apps.apple.com/us/app/digital-business-card-kardly/id1638921027
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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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Bulbul Gupta
Created a short AI-based video showcasing how artificial intelligence is transforming the way we work and create. Worked on concept development, video editing, and storytelling. Also highlighted my experience in AI training and sentiment analysis. #AI #ArtificialIntelligence #VideoEditing #DataAnalysis #ContentCreation
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Sameer Khan
Gstreamer video pipeline custom
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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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Chhavi Verma
Heart Disease Prediction Machine Learning Model
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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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Shashwat Srivastava
DL-Based Solution for Detection of Face-Swap Deep Fake Photos
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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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Navaneetha Krishnan Kamalakannan
Real-Time Neuromorphic Spectrum Intelligence Simulator: Developed a real-time software simulator for neuromorphic spectrum intelligence, exploring AI-driven approaches to wireless spectrum sensing and decision-making. The project combines signal-processing concepts with machine-learning and neuromorphic computing techniques to model intelligent spectrum behavior. The work was independently authored and presented at the NeurIPS ML4PS Workshop in 2025.
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Sriharsan BS
NeuroVision AI is a clinical-grade platform that detects neurological gait disorders from walking videos using computer vision and AI. It extracts key biomechanical parameters - cadence, symmetry, tremor index, and freezing episodes, via MediaPipe pose estimation and Isolation Forest anomaly detection, trained on established datasets including DaphNet and PhysioNet GaitPDB. The system delivers AI-powered differential diagnoses, real-time clinical Q&A, and spoken voice reports, all within 60 seconds of video input.
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Anjali Nimje
Developed and evaluated a Machine Learning classification model using Python and Scikit-learn. Analysed accuracy score, confusion matrix, precision, recall and F1-score to measure model performance and prediction quality.
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Hindol Banerjee
Dropout Analysis
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