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fastapi

SafeRoute AI is a machine-learning-powered road safety platform that predicts accident blackspots, analyzes route risk, and recommends safer travel routes using FastAPI, Next.js, SQLite, and XGBoost.

EndGame RAGHub is a scalable multimodal Retrieval-Augmented Generation platform supporting document, image, audio, and video understanding using FastAPI, Qdrant, LangGraph, and modern open-source AI infrastructure.

ResearchLens is a research support and academic consulting project that helps students, researchers, M.Tech scholars, and PhD candidates throughout their research journey. The platform provides guidance on thesis writing, research paper preparation, journal publication (including Scopus and SCI-indexed journals), literature reviews, synopsis development, and academic documentation. Its goal is to simplify the research process and help scholars produce high-quality, publication-ready work.

Smart city intelligence and tourism platform for Hyderabad built with Streamlit, FastAPI, and AI-powered civic services.

Bank Customer Churn Analysis is a data analytics and machine learning project designed to identify customers who are likely to leave a bank's services. Customer churn is a major challenge for banks, as retaining existing customers is more cost-effective than acquiring new ones. This project analyzes customer demographics, account details, transaction behavior, and banking activity to uncover patterns that contribute to customer attrition.

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.

Two-sided roadside assistance marketplace prototype (Flutter Web + FastAPI Backend)

PulseLink is a blood donor matching platform that connects patients with nearby compatible donors during emergencies. Built using React, FastAPI, and MySQL.

JalRakshak – Smart Water Leak Reporting System

JalRakshak is an AI-powered civic technology platform designed to help citizens report water leaks, pipeline damages, and water wastage incidents in real time. The system enables users to submit reports with location details, images, and descriptions, while helping authorities efficiently monitor, prioritize, and resolve water-related issues.

The platform incorporates intelligent features such as duplicate report detection, location-based issue mapping, automated prioritization, and analytics dashboards to improve response efficiency and reduce water loss. By creating a direct communication channel between citizens and municipal authorities, JalRakshak promotes community participation in water conservation and urban infrastructure management.

Key Features:

Real-time water leak and wastage reporting GPS-based location tracking and mapping Image upload and issue documentation Duplicate report detection and merging Priority-based issue management Administrative dashboard for monitoring and resolution Analytics and reporting for decision-making Secure, scalable, and open-source architecture

JalRakshak aims to support sustainable water management, enhance civic engagement, and assist local governments in addressing water infrastructure problems quickly and effectively.

Multilingual civic complaint reporting platform for Hyderabad residents and municipal operations teams.

An AI-driven civic tech ecosystem that replaces high-cost consulting with automated business intelligence. The platform features four core pillars:

Incentive Discovery: A profile-matching engine for business schemes. Loss Calculator: Converts eligibility into concrete numbers (e.g., "You are losing ₹12.5L over 3 years") to drive immediate action. AI Rejection Explainer: Allows users to upload a rejection letter/screenshot, translating bureaucratic jargon into a plain-English "Fix Checklist." MSME Exclusion Detector: A policymaker dashboard that tracks registration vs. application rates, highlighting high-exclusion zones on a visual map for targeted governance.

GalliSwad is a robust street food discovery platform built with FastAPI and React.

మన ఆటలు (Mana Aatalu) - A Digital Treasury of Indian Childhood Games మన ఆటలు (Mana Aatalu) is a community-driven web application designed to document, preserve, and celebrate the traditional childhood games of India. In a world where digital entertainment is taking over, we are creating a digital treasury to ensure these vital parts of our cultural heritage are not forgotten.

An AI-powered assistant designed for medical camps that streamlines patient appointment booking and schedule management while simultaneously preserving Telugu culture and heritage. Built with Streamlit frontend, FastAPI backend, and Gemini API, the app enables healthcare efficiency and cultural data collection, creating a digital archive of proverbs, traditions, and stories.

The central idea of the Telugu Sahitya Sahakaari project is to create a digital, community-powered archive for Telugu literature. The project's goal is to preserve literary heritage by allowing users to upload documents, images, and text. The users are also enabled to interact with an AI chatbot and explore, research, and learn about Telugu Literature.