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AI Expense Tracker is a smart personal finance management application that helps users track, categorize, and analyze their daily expenses using Artificial Intelligence. The application enables users to record transactions, monitor spending habits, and gain valuable financial insights through interactive dashboards and AI-powered analytics.

Unlike traditional expense trackers, this platform uses AI to automatically categorize expenses, identify spending patterns, generate personalized savings recommendations, and answer finance-related queries through a conversational interface. Users can upload receipts, manually enter expenses, or import transaction data for seamless expense management.

The application supports both cloud-based AI models and local AI inference solutions such as Ollama, allowing users to maintain privacy while benefiting from intelligent financial analysis. It also provides a Bring Your Own Key (BYOK) option, enabling users to connect their preferred AI providers using their own API keys.

Offline AI-powered document extraction system built with React, FastAPI, and local machine learning models for secure document processing.

Scan any invoice or bill image — AI extracts the data, builds your financial dashboard. Fully offline. CPU only.

Interview Simulator

A real-time AI interview coach built with a Bun backend and Groq AI integration. This project includes:

browser-based job description and persona setup resume upload and text extraction for PDFs/DOCX/TXT live streamed interview assistant replies via SSE transcript export and review features frontend mic support and keyboard shortcuts

Use this file as the folder-level description for the project.

CivicEye AI is a civic issue reporting and citizen engagement platform that helps users report public problems through AI-assisted workflows, location tracking, and community-driven issue monitoring.

Offline-first lecture transcription and structured study data extraction CLI/PWA.

Resume-Analyzer is an offline, CPU-first AI application that analyzes resumes against job descriptions and converts unstructured resume data into structured insights. It extracts skills, experience, identifies missing requirements, calculates a job match score, and provides improvement recommendations—all without requiring an internet connection or cloud APIs.

GroundWork is a personal productivity and self-improvement dashboard that helps developers track their daily habits, decisions, and growth. It combines a daily log, habit tracker, decision journal, Git activity monitor (GitPulse), and weekly digest into a single unified interface — giving you a structured way to reflect, plan, and stay consistent over time.

AI Medical Record Extractor is an offline-first web application that converts unstructured medical documents into structured JSON data using CPU-only inference. It supports PDF, image, and text files while ensuring complete privacy by processing all data locally without cloud services. Built with FastAPI, React, and SQLite, the application provides a user-friendly interface for extracting patient information, diagnoses, medications, and other medical details. The project is designed to be lightweight, secure, open source, and accessible in low-connectivity environments.

Offline Investigation Intelligence Platform

NyayaBloom is an AI-powered Judicial Intelligence Platform designed to democratize legal knowledge and improve judicial transparency across India. The platform enables citizens, lawyers, law students, researchers, journalists, and judicial professionals to access legal information, understand judicial processes, explore case precedents, and improve legal literacy through a multilingual AI-powered ecosystem. Instead of replacing judges, courts, or legal professionals, NyayaBloom serves as an intelligent legal knowledge assistant that simplifies legal information and promotes informed civic participation.

WaterWatch is an app designed to address the water related issues in Telangana like pipe leaks, water shortages, other complaints.

AquaAlert — A civic water supply complaint management system for Hyderabad. Citizens can report issues, track complaints, and officers can manage resolutions via an admin dashboard.

FieldSync - Structured data extraction system in Python

Offline-first, CPU-first receipt and invoice OCR, local Qwen categorization, structured expense reporting, and JSON/CSV export.

Student Study Planner is a Streamlit-based application that enables students to organize their studies efficiently through subject and task management, automated study planning, progress analytics, AI-powered study assistance, and English/Telugu language support.

FarmDirect - Broker-free farmer marketplace built with Streamlit and Python

Smart Food Finder is a preference-based restaurant recommendation platform that helps users discover nearby dining options using their location, budget, cuisine preferences, and dining style.

AI-powered FIFA World Cup 2026 match predictor with historical data, squad comparison, head-to-head analysis, and multi-language support

Local-First Document Q&A with RAG using Ollama — Find-Retrieve-Answer pattern