Projects using FastAPI in MumbaiProjects using FastAPI in Mumbai
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Cover image for Shadow Watch — Behavioral Intelligence
Shadow Watch — Behavioral Intelligence & Account Security Platform Description Shadow Watch is a behavioral intelligence platform that continuously analyzes user interaction patterns to build behavioral profiles, detect anomalies, and strengthen account security without introducing friction to the user experience. Instead of relying solely on passwords or one-time verification checks, Shadow Watch observes behavioral continuity over time to establish trust signals and identify potentially compromised sessions. The system combines behavioral fingerprinting, activity analysis, risk scoring, and anomaly detection to help organizations recognize suspicious account activity before it escalates into an account takeover event. Key Features Behavioral fingerprint generation User activity intelligence Trust score calculation Session anomaly detection Account takeover prevention Temporal behavior analysis Privacy-conscious architecture Tech Stack Python • FastAPI • PostgreSQL • Security Engineering • Behavioral Analytics • Risk Scoring
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Cover image for Nudge — AI Email Follow-Up
Nudge — AI Email Follow-Up Agent Nudge is an AI-powered email follow-up assistant that ensures important conversations never slip through the cracks. It analyzes Gmail conversations, identifies emails that require a response, and intelligently drafts personalized follow-up messages, helping professionals stay on top of opportunities without constantly checking their inbox. The Problem Professionals lose valuable opportunities because they forget to follow up on important emails. Managing dozens of conversations manually makes it easy to miss replies, delayed responses, and pending action items. The Solution Nudge automatically scans email conversations, detects messages that haven't received a response within a configurable timeframe, and generates context-aware follow-up drafts using large language models. Users can review, edit, and send these drafts in seconds instead of writing them from scratch. Key Features • AI-generated personalized follow-up emails • Gmail conversation analysis • Automatic detection of unanswered conversations • Context-aware draft generation using LLMs • Privacy-first architecture with user-controlled approvals • Fast and minimal developer-focused interface Tech Stack - Python - FastAPI - Gmail API - OpenAI API - Next.js - TypeScript - PostgreSQL - Docker My Role Designed and developed the complete application, including backend services, AI workflow, Gmail integration, frontend interface, and deployment. Built the prompt engineering pipeline to generate natural, personalized follow-up emails while preserving conversation context. Outcome Nudge reduces the time spent managing email follow-ups and helps users maintain stronger professional relationships by ensuring no important conversation is forgotten.
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Cover image for Quant Terminal is a portfolio
Quant Terminal is a portfolio analytics and asset management platform designed to help investors monitor holdings, analyse diversification, and evaluate portfolio allocation strategies. The platform provides a real-time view of portfolio performance while offering allocation analysis across multiple asset classes including equities, commodities, cryptocurrencies, and foreign exchange markets. Key Features: • Portfolio holdings dashboard • Real-time P&L monitoring • Diversification analysis • Portfolio drift detection • Strategy-based portfolio views • Asset allocation management • CSV export functionality • Interactive desktop interface Tech Stack: Python, Data Analytics, Portfolio Modelling, Financial Data Processing, Desktop Application Development Role: Sole Developer and System Designer Outcome: Built a functional portfolio management terminal capable of tracking holdings, visualising allocation drift, and supporting portfolio rebalancing decisions through quantitative analysis.
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Cover image for Minutz — AI Meeting Intelligence Minutz
Minutz — AI Meeting Intelligence Minutz is an AI-powered meeting intelligence platform that transforms long meetings into actionable insights. What it does • Records and processes meeting audio • Generates accurate transcripts using Whisper • Creates AI-powered summaries • Extracts action items and key decisions • Identifies risks, blockers, and follow-ups • Stores meeting history for future search Tech Stack - FastAPI - Next.js - OpenAI GPT-4o - Whisper - Supabase - PostgreSQL - Tailwind CSS My Role Designed and built the complete product from scratch, including backend architecture, AI pipeline, frontend, authentication, database design, and deployment. Outcome Built a production-ready AI application capable of turning unstructured meeting conversations into structured business intelligence.
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Cover image for Anchor is an AI governance
Anchor is an AI governance platform designed to provide deterministic policy enforcement for AI systems and autonomous agents. The platform focuses on a critical problem facing enterprises adopting AI: ensuring that model-driven decisions remain explainable, auditable, and compliant with organizational policies. Key capabilities include: • Constitutional governance architecture • Policy-based execution controls • Deterministic decision validation • Replayable audit trails • Entity visibility and access governance • Runtime compliance verification • Governance observability and traceability The system is designed around the principle that governance decisions should be independently verifiable rather than dependent on opaque model behaviour. Tech Stack: Python, FastAPI, PostgreSQL, Docker, JWT Authentication, Audit Logging, Governance Engine Design Role: Founder, System Architect, Backend Engineer Project Links: Website: https://www.animuslab.dev (https://www.animuslab.dev)GitHub: https://github.com/AnimusLab/Anchor Research: https://zenodo.org/records/19734724
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