Winning Idea of Smart India Hackathon 2020.
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Updated
May 28, 2024 - Kotlin
Winning Idea of Smart India Hackathon 2020.
AWSAR is a platform that connects government organizations and potential job seekers under one single domain, accompanied with a number of features to ease the process, dedicated to fulfilling every kind of needs of recruiters and job seekers.
This project is POC for Smart India Hackathon 2020. This Django based website. It includes three machine learning models - Loan Prediction Model, Admission Prediction Model and Email Spam Detection Model
Provides the environment of chatting based Crime Registration for victims. Victim will be able to register his/her complaint by chatting with chatbot, which gives victim a real time crime registration experience just like in police station.
A Student Grievance Redressal System made for Smart India Hackathon 2020
A web and app based modern library management system.
Team X's official repository for Smart India Hackathon 2020 problem statememt AJ128.
Textile Detection from CCTV Surveillance videos
A Backbone NodeJS REST API which is consumed by both the Mobile app and the Desktop app to carry out the necessary data flow.
Team - Pushkar Maurya ; Tarun Kanojia ; Deepak Sagar ; Shivam Kumar Vimal ; Ravikant Sharma ; Sohail Khan
Android appliations made for both police and citizens. Maps crime-prone regions on Google maps using a machine learning model.
Centralized hub to manage and monitor police patrols on an interactive map
✅ CODAR is a framework built using PyTorch to analyze post (Text+Media) and predict cyber bullying and offensive content.
Supply chain management and Procurement(tenders), backed by Blockchain.
Complete solution for job recommendation and identifying the true potential of each candidate.SIH problem statement
An automatic attendance and classroom monitoring system, using cameras for activity recording of students.
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