Oriental TechHack 2.0

National Level Hackathon Date: 30 April 2026

 

  • Event Details
  • Problem Statements
  • Venue
  • Help

Event Details

We are delighted to Host Oriental TechHack 2.0 National Level Hackathon, powered by Cybrom Technology, scheduled on 30 April 2026. This flagship event aims to bring together bright minds from across the country to innovate, collaborate, and solve real-world challenges through technology.

Important Dates
Event Date 30 April 2026
Last Date for Registration 30 March 2026
Prize Pool
1st Prize₹51,000
2nd Prize₹21,000
3rd Prize₹11,000
Consolation Prize (2 Teams)₹5,000 each

Opportunities
  • Scholarships up to ₹1,00,000 for top-performing teams
  • Internship Opportunities for shortlisted participants
  • Exposure to real-world problem solving, networking, and innovation

Team Details
Team Size Maximum 4 members
Registration Fee ₹600 per team
How to Participate
  • Form a team (max 4 members)
  • Select any one problem statement from the official website
  • Complete payment via SAC QR code (keep transaction details)
  • Fill out the registration form https://forms.gle/r7TRjSVUu66hkX9e6
  • Team Leader will join WhatsApp Group.

Why Participate?

This hackathon offers a powerful platform to showcase innovation, win exciting rewards, gain industry exposure, and unlock career opportunities through internships and scholarships.

We look forward to your enthusiastic participation of students in making this event a grand success.

Problem Statements

Smart Agriculture Theme

Statement 1: AI-Powered Precision Farming Assistant

Objective:
Develop an AI-driven decision support system that helps farmers choose crops, fertilizers, and detect plant diseases.

Updated Description:
Build a multi-modal AI platform (Web/Mobile) that integrates:

  • AI Crop Recommendation Engine based on
    - Soil NPK values
    - Weather forecast APIs
    - Satellite imagery
    - Historical crop yield data
  • Fertilizer Optimization Model using ML regression to recommend fertilizer quantity.
  • AI Plant Disease Detector using Computer Vision (CNN / Vision Transformers) from leaf images.
  • AI Advisory Agent (LLM + RAG) that answers farmer queries in local languages.

Advanced Features

  • Drone / satellite crop monitoring
  • Edge AI disease detection on mobile
  • Voice-based farmer assistant
  • IoT soil sensors integration
  • Real-time irrigation suggestions

Tech Stack Suggestions

  • TensorFlow / PyTorch
  • YOLO / Vision Transformers
  • FastAPI / Django
  • Flutter / React Native
  • OpenWeather API
  • HuggingFace / Llama / GPT
  • IoT sensors + MQTT

Statement 2: Smart Weather Intelligence for Farmers
Objective:
Provide AI-powered weather insights and alerts to farmers.

Updated Description:
Develop a system that integrates meteorological data + ML models to provide hyperlocal weather intelligence.
The system should:

  • Predict rainfall probability
  • Provide farming advisories
  • Detect extreme weather risks
  • Send AI-generated alerts via voice/SMS

Advanced Features

  • AI-based crop protection alerts
  • Climate risk prediction
  • Smart irrigation scheduling
  • Voice assistant in regional languages
  • WhatsApp chatbot alerts

Technologies

  • Weather APIs
  • Time-series ML models
  • LangChain + LLM agents
  • SMS / WhatsApp APIs
  • Edge devices

Smart Mechanization Theme

Statement 3: Autonomous AI Delivery Robot

Objective:
Develop a self-navigating AI robot for indoor delivery tasks.

Updated Description:
Build a robot capable of:

  • Autonomous navigation
  • Obstacle detection
  • Voice command recognition
  • Object pickup and delivery
  • The robot should operate in homes, offices, or factories.

Advanced Features

  • SLAM-based navigation
  • YOLO object detection
  • Voice assistant integration
  • Path planning using reinforcement learning
  • Smart task scheduling

Technologies

  • ROS2
  • OpenCV
  • YOLOv8
  • Raspberry Pi / Jetson Nano
  • Python + Arduino
  • Reinforcement Learning

Statement 4: AI Self-Driving Vehicle Simulation

Objective:
Develop a computer vision-based autonomous driving system.

Updated Description:
Create an AI model capable of:

  • Lane detection
  • Traffic sign recognition
  • Obstacle detection
  • Path planning
  • Use simulation environments such as CARLA or Webots.

Advanced Features

  • Reinforcement learning driving agent
  • Sensor fusion (camera + LiDAR)
  • Autonomous parking
  • AI traffic behavior prediction

Technologies

  • PyTorch
  • OpenCV
  • CARLA Simulator
  • YOLO / DeepSORT
  • Reinforcement Learning

Smart AI Theme

Statement 5: AI Customer Support Agent (Next-Gen Chatbot)

Objective:
Develop an LLM-powered conversational AI assistant for customer support.

Updated Description:
Create a chatbot using LLMs + RAG architecture capable of:

  • Answering domain-specific queries
  • Understanding context
  • Accessing knowledge bases
  • Providing human-like responses

Example Domains

  • Banking
  • Healthcare
  • Education
  • E-commerce
  • Government services

Advanced Features

  • Voice chatbot
  • Multi-language support
  • Sentiment detection
  • AI agent tool usage
  • Integration with databases and APIs

Technologies

  • LangChain / LlamaIndex
  • Vector DB (FAISS / Pinecone)
  • OpenAI / Llama / Mistral
  • Speech-to-Text + TTS
  • FastAPI backend

Statement 6: AI Smart Assistant for Education

Objective:
Develop an AI-powered education assistant for students and teachers.

Updated Description:
Create an AI assistant that can:

  • Recommend courses, projects, and tutorials
  • Answer student doubts
  • Generate quizzes automatically
  • Analyze student performance

Advanced Features

  • AI tutor using LLMs
  • Personalized learning path
  • AI-generated study notes
  • Assignment evaluation using AI
  • Voice assistant

Technologies

  • LangChain Agents
  • Vector Databases
  • LLM APIs
  • Knowledge Graphs
  • React / Flutter

Smart IOT Theme

Statement 7: AI Smart Traffic Monitoring System

Objective:
Develop an AI + IoT traffic control system.

Updated Description:
The system should:

  • Detect vehicle density using computer vision
  • Automatically adjust traffic signals
  • Detect traffic violations

Advanced Features

  • Number plate recognition
  • AI accident detection
  • Traffic congestion prediction
  • Smart city dashboard

General Technologies

  • YOLOv8
  • OpenCV
  • Edge AI cameras
  • Raspberry Pi / Jetson
  • Cloud dashboard

Statement 8: Smart IoT Parking System

Objective:
Develop a real-time smart parking management system.

Updated Description:
Build a mobile app that shows:

  • Available parking slots
  • Automatic vehicle slot allocation
  • Navigation to parking slot

Advanced Features

  • License plate recognition
  • QR entry system
  • Parking prediction analytics
  • Digital payment integration

Technologies

  • IoT sensors
  • Flutter / React Native
  • Firebase / AWS IoT
  • Computer Vision

Statement9: AI IoT Waste Management System

Objective:
Develop a smart waste monitoring system for smart cities.

Updated Description:
Install IoT sensors in garbage bins to:

  • Monitor waste levels
  • Automatically schedule collection
  • Optimize garbage truck routes

Advanced Features

  • AI waste classification
  • Route optimization using AI
  • Smart city dashboard
  • Citizen reporting app

Technologies

  • Ultrasonic sensors
  • LoRaWAN / MQTT
  • ML route optimization
  • GIS mapping

Smart App Theme

Statement 10: Next-Gen AI E-Commerce Web Platform

Objective:
Develop a smart e-commerce platform using modern AI technologies.

Updated Description:
Build a Next.js + AI powered shopping platform for a gift shop.

Core Features

  • Login / Registration
  • roduct catalog
  • Cart & checkout
  • Indian payment gateway
  • Order tracking

Advanced AI Features

  • AI gift recommendation engine
  • AR product preview
  • AI shopping assistant chatbot
  • Personalized product feed
  • Voice search

Technologies

  • Next.js
  • Node.js / FastAPI
  • Stripe / Razorpay
  • TensorFlow / Recommendation AI
  • WebAR

Statement 11: AI Parent–Student Monitoring Mobile App

Objective:
Create an AI-powered education monitoring mobile application.

Updated Description:
A mobile platform where parents can monitor student performance in real-time.

Features

  • Multi-role login
    - Admin
    - Teacher
    - Student
    - Parent
  • Attendance tracking
  • Assignment submission
  • Quiz & exam management
  • Performance analytics

Advanced Features

  • AI performance prediction
  • Early warning system for weak students
  • AI study planner
  • Parent notification alerts
  • AI homework assistant

Technologies

  • Flutter / React Native
  • Firebase
  • AI analytics models
  • Graph dashboards

Special Hackathon Category (NEW)

Statement 12: Smart Sustainable City AI Platform

Build a digital twin of a smart city integrating:
Traffic, Waste, Parking, Weather, and Energy

Use AI + IoT + dashboards to simulate and optimize city operations.


Judging Criteria
Criteria Weight
Innovation25%
Technical Complexity25%
Impact20%
UI/UX and hardware15%
Scalability15%

Note: Technologies and Functions are standard specimens. The Participant can upgrade and modify it as per his/her requirements

Venue

Oriental Bhopal

About OIST:

Our educational pursuit began in 1995, when Oriental Institute of Science & Technology came into being. We toiled hard amidst adversities to reach our goal of developing an Internationally acclaimed group of Instituitions. Today with world class infrastructure, highly experienced and motivated faculty, superb industry focus, competitive passion, cutting edge and a galaxy of top rankers to our credit, we have a distinctive edge in the area of Technical education. OIST the oldest among the Institutes, has reached its objective,long back, with the NBA accreditation for its programs.

 

Nearby Attractions:

Bhopal is a city in the central Indian state of Madhya Pradesh. It's one of India’s greenest cities. There are two main lakes, the Upper Lake and the Lower Lake. On the banks of the Upper Lake is Van Vihar National Park, home to tigers, lions and leopards. The State Museum has fossils, paintings and rare Jain sculptures. Taj-ul-Masjid is one of Asia’s largest mosques, with white domes, minarets and a huge courtyard. Other attractions:

Bhojpur Temple: The majestic Bhojpur temple is just 29 km from Bhopal. The temple is about 1000 years old and dates to the reign of Raja Bhoj, the legendary Parmar monarch of Dhar. Even today, during the Shivaratri celebrations, this temple draws a sizable number of devotees of Lord Shiva.

Bhimbetka Rock Shelters: On the highway leading to Hoshangabad, the Rock Shelters of Bhimbetka are situated about 45 km to the southeast of Bhopal. The site is 10 km long and around 3 km wide.

Sanchi Stupa:

Sanchi is a UNESCO World Heritage Site situated 49 km from Bhopal, known for its stupas, pillars and stunning gateways.

 

How to reach OIST, Bhopal

This OIST is in city Bhopal, Madhya Pradesh. Bhopal being a major railway junction in the Central region it connects almost all important destinations in north, south, west and east. OIST is located on State highway linking BHEL township & Raisen. It is well connected by local transport, the Institute is 11 kms from Bhopal main station & 7 kms from Ranikamlapati Station and is 20 km away from Rajabhoj Airport.

Address:
Oriental Institute of Science and Technology(OIST),
Oriental Campus, Opp Patel Nagar, Raisen Road, Bhopal (M.P.) 462022, INDIA.

Help

Any queries can be addressed to below mail id.
Dr. Rakesh Patel
Email: oisthodce@oriental.ac.in Ph. No.: +91-9826851594

Address:
Oriental Institute of Science and Technology(OIST),
Oriental Campus, Opp Patel Nagar, Raisen Road, Bhopal (M.P.) 462022, INDIA.