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Streamlit

DisasterGuardAI is an AI-powered disaster reporting and rescue coordination platform built with Streamlit.

Attendance Tracker is a digital solution designed to automate and simplify attendance management for organizations, educational institutions, and teams. The system enables users to record, monitor, and analyze attendance data efficiently while reducing manual effort and errors associated with traditional attendance registers.

The application provides features such as employee/student check-in and check-out, attendance history, leave management, real-time attendance monitoring, and report generation. Users can mark attendance through various methods, including manual entry, QR code scanning, GPS location verification, or facial recognition, depending on the organization's requirements.

Administrators and managers can access dashboards that display attendance statistics, late arrivals, absences, and workforce availability in real time. The system also supports automated notifications, attendance correction requests, and integration with payroll or academic management systems.

Advanced versions of the Attendance Tracker may include AI-powered analytics, geofencing, anomaly detection, and predictive insights to help organizations improve attendance compliance and operational efficiency.

RescueBite AI

RescueBite AI is an intelligent food rescue and redistribution platform designed to reduce food waste and combat hunger. The platform connects food donors such as restaurants, bakeries, hotels, supermarkets, and event organizers with NGOs, shelters, and volunteers through a real-time donation network.

Using AI-powered food classification, freshness assessment, and smart matching algorithms, RescueBite AI ensures that surplus food reaches people in need before it expires. The system streamlines the entire donation lifecycle, from donation creation and verification to pickup, delivery, and impact tracking.

Key Features Food donation creation and management AI-powered food classification Food freshness and urgency assessment Smart NGO matching Volunteer assignment and coordination QR-based pickup and delivery verification Real-time notifications Donation history tracking Impact analytics dashboard Food waste reduction insights Mission

To build a scalable and transparent food rescue ecosystem that transforms surplus food into meaningful meals while reducing environmental waste and supporting communities in need.

Team

Team Name: Vandal Institution: ICFAI

Vision

A future where no edible food goes to waste and no community struggles with food insecurity due to inefficient distribution systems.

DocSage — Streamlit RAG chatbot for document Q&A with PDF structured-qa and Gemini RAG for other sources.

Local-First PDF Q&A Assistant built using PyMuPDF4LLM and Llama.cpp. Supports PDF upload, document retrieval, and question answering using a local language model.

Production-ready RAG chatbot built with Streamlit, LangChain, FAISS, and local LLM support. Features document Q&A, PDF processing, and AGPLv3 compliance.

Smart Water Leakage Detection System built with Python and Streamlit for monitoring, reporting, and analyzing water leakage incidents.

Multimodal Retrieval-Augmented Generation (RAG) application built with Streamlit, LangChain and ChromaDB for intelligent document question answering.

A dual-mode RAG (Retrieval-Augmented Generation) chatbot. Mode 1 uses hybrid search (pgvector + BM25) with Ollama for fully local, free LLM inference. Mode 2 uses a lightweight Find-Retrieve-Answer workflow with PyMuPDF4LLM and llama.cpp for structured PDF Q&A with zero embeddings or vector database.

GRAM Connect is a platform that helps citizens identify and apply for eligible government welfare schemes based on their profile, location, income, and category. It provides scheme recommendations, eligibility checking, and awareness of government benefits.

Local Streamlit RAG research assistant for querying uploaded and preloaded documents with Ollama, LangChain, and ChromaDB.

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

Lightweight local RAG document chatbot with multilingual support (en/hi/te).

AI Document Assistant - A local-first RAG chatbot built with Streamlit, LangChain, Ollama, and ChromaDB for PDF question answering, OCR, summarization, and resume analysis.

A local-first Retrieval-Augmented Generation chatbot for PDF Q&A built with Streamlit, LangChain, ChromaDB, and llama.cpp

FRIDAY-RAG is a Retrieval Augmented Generation chatbot built using Python and Streamlit.

NyayaSetu is an AI-powered Citizen Rights and Civic Governance Assistant that helps users understand laws, civic services, RTI procedures, and government schemes using Retrieval-Augmented Generation.

Multimodal RAG Chatbot built with LangChain, ChromaDB, Whisper, OCR, and Gemini for question answering over PDF, image, audio, and video files.

SafeShe Hyd is an AI-powered safety companion designed to help women stay secure and connected during emergencies.

TravelSathi is an AI-powered travel planning assistant developed for the Swecha Hackathon. It combines Retrieval-Augmented Generation (RAG), offline local language models (via Ollama), and multilingual support to generate personalized itineraries, budget estimations, local phrases, and destination recommendations.