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Streamlit

StoryMirror CLI is a CPU-first command-line application that transforms unstructured stories into meaningful insights through local AI processing. It provides story analysis, multilingual text-to-speech (TTS), runtime performance metrics, and customizable terminal themes, all while running on a local FastAPI backend.

Designed for offline and resource-efficient environments, StoryMirror performs inference on the CPU without requiring a dedicated GPU, making it suitable for developers, students, and writers who need an accessible AI-powered storytelling tool.

Key Features 📖 Analyze stories from text or files 🎙️ Generate multilingual text-to-speech narration 🎨 Customize the CLI with multiple themes 📊 Monitor CPU usage, memory, and inference performance ⚡ Run entirely on a local FastAPI backend 💻 CPU-first design with no GPU dependency 🌐 Supports offline or local deployment 🚀 Simple command-line interface for quick workflows

AI-powered receipt management system that extracts, organizes, and securely stores receipt information using OCR and LLM technologies.

FieldSync - Structured data extraction system in Python

VoxSQL is an offline-first, CPU-first data assistant that converts unstructured or semi-structured student data into structured SQLite tables. Users can upload CSV, Excel, or text files and ask natural language questions like “show students from section A” or “show students with marks above 90.” The app converts the prompt into a safe SQL query, runs it locally, and displays the result as a table and JSON output. VoxSQL works without cloud AI APIs, uses local processing, and is designed for privacy-friendly offline data querying.

CivicFix AI – AI-powered civic complaint management system.

LocalVital turns your messy health diary into a structured, private, queryable dataset — entirely on your device, no internet required.

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

CPU-first offline Streamlit study assistant that extracts local study files, generates summaries, flashcards, and MCQs, and stores progress in SQLite under AGPL-3.0-or-later.

CivicTruth is a Retrieval-Augmented Generation (RAG) platform that enables transparent, citation-backed question answering over legislative and policy documents.

JanaSeva AI

JanaSeva AI is an AI-powered citizen assistance platform designed to simplify access to government services. Instead of searching through multiple websites, users can ask questions in natural language and receive step-by-step guidance, required documents, eligibility details, and official government resources for services such as Aadhaar, PAN Card, Voter ID, certificates, scholarships, and welfare schemes. The system reduces information overload and makes government services more accessible, especially for first-time users.

An AI-powered offline disaster relief intelligence system that enables emergency communication, resource management, and situational awareness in low-connectivity environments using machine learning and local data processing.

F2P Solver extracts mathematical formulas from PDF research papers and converts them into interactive Python simulations — entirely offline, on CPU. Upload a paper, and for every formula you get a callable Python function plus a live chart with sliders for each variable: drag a slider and the curve updates instantly, with no further AI calls. Built with Streamlit, pymupdf, ollama (Qwen2.5-7B), numpy, and Plotly. Runs on any Linux/macOS machine with a single command: ./run.sh.

LectureLens is a secure, localized, multi-modal ingestion pipeline that transforms raw educational assets into structured, high-retention study matrices. Built entirely on an offline-first philosophy, the system intercepts dense lecture audio streams and multi-page technical PDFs, running them through an isolated edge-computing layer to generate interactive flashcards, core concept maps, and dynamic glossaries without leaking sensitive user data to third-party cloud vectors.

Our assistant addresses the challenge of navigating fragmented and massive match data from the IPL 2026 season. Currently, cricket fans and analysts struggle to extract specific match statistics or venue-specific performance metrics from raw CSV datasets without advanced data analysis tools.

Local AI: Offline Meeting Intelligence System is a CPU-optimized, offline-first application that transforms unstructured meeting audio recordings into structured and actionable data. Using Faster-Whisper for local speech transcription and Qwen2.5 GGUF via llama.cpp for information extraction, the system converts audio files into structured JSON containing meeting summaries, topics, action items, and next steps. All processing is performed entirely on the user's device without internet access or GPU acceleration, with results stored locally using SQLite and displayed through an interactive Streamlit dashboard.

KakeiboAI is an AI-powered personal finance companion inspired by the Japanese Kakeibo methodology. It tracks expenses, build mindful spending habits, and helps to achieve savings goals through reflection and insights. It also analyses your spending patterns and provides suggestion on how to improve them.

Offline-first CPU AI study assistant that converts PDFs, images, audio, and text into structured SQLite knowledge.

StudentAI - AI-powered RAG chatbot for document analysis and question answering using FastAPI, React, Ollama and Retrieval-Augmented Generation (RAG).

Water Issue Tracker - Civic complaint system using Streamlit