/events/sakthi_hackathon_1.0/hackathonregister/5/

Digitization of DISA Production Records - SH01

Currently, many of the production records in the company are entered manually, leading to issues such as data inconsistency, delays in reporting, and lack of real-time tracking. There is a pressing need to digitize this process through a secure and user-friendly portal to improve efficiency, traceability, and data integrity. This will also enable better analysis of production trends and quicker decision-making.

A web-based portal where DISA machine operators or supervisors can digitally enter production data. The portal should allow:
1) Real-time data entry
2) Role-based access control

3) Exporting and backup of records

1) Should work on standard shop-floor tablets or desktops

2) Must support offline data entry with sync capability

3) Intuitive UI for operators with minimal digital skills

4) Secure login and data protection measures"

1) Web technologies (HTML5, CSS, JavaScript, React/Angular)

2) Backend with Node.js / Python / Java

3) Database: MySQL / PostgreSQL / MongoDB

4) Optional: Firebase for real-time sync"

/events/sakthi_hackathon_1.0/hackathonregister/6/

Automation of Breakdown Intimation Process - SH02

Currently, breakdown reporting on the shop floor is handled manually through logbooks or verbal communication, resulting in delayed responses, lack of visibility, and incomplete historical data. Additionally, maintenance work often begins without proper issuance or tracking of safety work permits, posing operational risks. There is a need to digitize the entire breakdown intimation process—including mandatory safety permit generation and automated alerts to the safety team—to enhance operational safety, documentation, and response time.

A digital system (mobile/web portal) that enables:
1) Digital / Electronic exporting of machine breakdowns
2) Categorization by type (mechanical/electrical) and severity

3) Real-time notification to maintenance and safety teams

4) Centralized tracking of open/closed breakdowns

5) Dashboard for viewing breakdown history and permit issuance logs

1) Easy-to-use interface for operators

2) Offline mode with later sync

3) Notifications through SMS/email/app

4) Breakdown categorization (mechanical/electrical/others)

5) Track escalation levels if not attended within defined SLAs

1) Mobile app: Flutter / React Native

2) Backend: Node.js / Python (Flask or Django)

3) Database: MySQL / PostgreSQL / MongoDB

4) Notification: Firebase Cloud Messaging / SMS gateway

/events/sakthi_hackathon_1.0/hackathonregister/7/

Smart Monitoring System for Returnable Packing Box Lifecycle - SH05

In logistics and dispatch operations, returnable packing boxes are reused multiple times to transport castings and components. However, there is currently no system in place to track the individual lifecycle of each box. Manual tracking results in box loss, overuse, and quality deterioration without timely replacement. A smart system is required to uniquely identify each box and monitor its usage history to ensure optimal utilization and timely disposal or maintenance.

"
A digital system capable of:
1) Assigning a unique ID (QR/RFID) to each returnable box

2) Capturing issue, return, and location history

3) Monitoring total usage cycles or mileage of each box

4) Alerting when a box reaches its end-of-life or needs inspection

5) Providing dashboards for logistics and maintenance teams

1) Durable ID tagging (QR code/RFID) on each box

2) Mobile scanning support at issue/return points

3) Lifecycle thresholds configurable by material type

4) Visual dashboard for easy status tracking

"
1) QR based tracking system

2) Backend: Node.js / Django with Firebase or PostgreSQL

3) Dashboard with Power BI or custom web portal

/events/sakthi_hackathon_1.0/hackathonregister/8/

Real-Time Stock Alert System for Rough Casting Warehouse - SH03

To meet daily production targets, the rough casting warehouse must maintain an adequate stock of required castings. Currently, stock shortage information is communicated manually via phone calls, which leads to delays, miscommunication, and potential production halts. A digital system is needed to display real-time stock availability and trigger automated alerts when inventory falls below threshold levels, ensuring timely replenishment and seamless production flow.

A system that provides:
1) Real-time display of stock levels on a digital dashboard or board in the warehouse and production areas

2) Alert system when stock falls below pre-defined minimum levels

3) Option for automatic alerts to concerned personnel (WhatsApp, SMS, app)

1) Real-time display of stock levels on a digital dashboard or board in the warehouse and production areas

2) Alert system when stock falls below pre-defined minimum levels

3) Option for automatic alerts to concerned personnel (WhatsApp, SMS, app)

1) Dashboard: Web-based (React / Angular) with integration to large display units

2) Backend: Node.js / Python with Firebase or MySQL

/events/sakthi_hackathon_1.0/hackathonregister/9/

Automation of Cutting Tool Issue and Receipt Management - SH04

In the machining section, over 100 types of cutting tools are used for various operations. Currently, the issuance and return of these tools are managed manually, which often leads to errors, delays, and a lack of traceability. An automated system is needed to track the issue and receipt of cutting tools accurately, reduce human error, and improve inventory visibility, tool life tracking, and accountability.

A digital tool management system that enables:
1) Traceability based tool issue and return

2) Real-time inventory update of tool stock levels

3) Tracking of tool usage history by machine/operator

4) Alerts for tool reordering and expiry

5) Dashboards for tool inventory and consumption trends

1) Must support over 100 tool types with categorization

2) Secure login and role-based access (storekeeper, operator, supervisor)

3) Desktop access at tool crib/issue counters

4) Optional integration with ERP

5) Capable of generating reports on consumption and reusability

1) Suitable tech for tool tracking

2) Frontend: React / Flutter / Angular

3) Backend: Node.js / Django / Firebase

4) Database: MySQL / MongoDB / Firebase Realtime DB

/events/sakthi_hackathon_1.0/hackathonregister/10/

Digital Monitoring System for Raw and Mixed Coolant Consumption - SH06

In machining operations, both raw coolant oil and mixed coolant (coolant + water) are used extensively. Currently, there is no digital system in place to track their separate daily consumption, leading to challenges in monitoring usage patterns, detecting overconsumption, and planning refills. A smart digital control system is needed to independently monitor the consumption of raw coolant oil and mixed coolant in litres/day to ensure efficient usage, cost control, and timely replenishment.

A digital system that:
1) Monitors daily consumption (litres/day) of raw coolant and mixed coolant separately

2) Provides real-time dashboard and alerts for overuse

3) Enables trend analysis and consumption reports

4) Tracks refill cycles and supports predictive maintenance planning

5) Allows user access control and data backup

1) Flow sensors or digital meters to be integrated at both raw coolant and mixing points

2) Dashboard accessible via PC

3) Data logging with timestamps and usage categorization

4) Capable of distinguishing between machine-wise or line-wise usage

5) Alert triggers on abnormal consumption

1) IoT-enabled flow sensors

2) Backend: Node.js / Python with Firebase or PostgreSQL

3) Frontend: Web portal using React / Angular & dash board

/events/sakthi_hackathon_1.0/hackathonregister/11/

Digital Quality Control & Assurance Document System for Machining Sections - SH07

In machining sections, Quality Control (QC) and Quality Assurance (QA) activities generate large volumes of paper-based documents such as inspection reports, control plans, gauge calibration records, rejection notes, and corrective action reports. Managing these manually leads to issues with traceability, real-time accessibility, and compliance with IATF 16949 standards. A digital system is required to transform these records into a fully paperless, searchable, and auditable format—supporting faster decision-making and compliance readiness.

A digital quality documentation system that enables:
1) Creation, storage, and approval of QC/QA documents in electronic format

2) Real-time data entry from inspection stations (PC/tablet-based)

3) Automated tagging of documents by part number, machine, operator, and date

4) Searchable archive for audits and traceability

5) Digital sign-off workflows and notification system

6) Export options for
compliance and reporting (PDF/Excel)

1) Interface for inspectors and QA engineers on shop floor terminals

2) Must support key QC/QA documents (in-process checklists, NCRs, calibration records, etc.)

3) Compliant with IATF 16949 documentation requirements

4) Document version control and restricted access by user roles

5) Backup and restoration capability

6) Optional integration with DMS systems

1) Frontend: Portal using (Angular / React)

2) Backend: Django / Node.js / Firebase

3) Database: MySQL / MongoDB

4) Document Viewer: PDF.js / FilePond

/events/sakthi_hackathon_1.0/hackathonregister/12/

Centralized Backup and Access System for Machine Shop Programs and PLC Logic - SH08

The machine shop operates over 6 different makes of CNC and special-purpose machines, each with its own set of part programs, PLC logic, passwords, parameter settings, and control configurations. These are currently stored in local PCs, USB drives, or operator notebooks—posing a risk of data loss, unauthorized changes, and version confusion. A centralized, secure, and traceable software system is required to back up, manage, and retrieve machine-specific programs and logic settings for maintenance and process continuity.

A secure software/application that enables:
1) Centralized storage of CNC programs, PLC logic, and parameters

2) Tagging by machine make, type, model, and operation

3) Secure access with role-based user authentication

4) Version control with change history

5) Backup scheduling and alerts for program updates

6) Quick download/upload access to restore configurations during machine breakdown or upgrades

1) Must support file types used by popular CNC/PLC platforms

2) Password-protected sections for sensitive logic or OEM programs

3) Upload/download history with timestamp and user identity

4) Offline backup capability with cloud or internal server sync

5) Minimal operator training and multi-user support

1) Backend: Node.js / Django / Firebase

2) Frontend: React / Angular Web App

3) Database: PostgreSQL / Firebase / MongoDB

4) File Management: Encrypted local and cloud storage

/events/sakthi_hackathon_1.0/hackathonregister/13/

Predictive Life Monitoring and Notification System for Machine Critical Spares - SH09

"In CNC machines and other precision equipment, critical spares such as ball screws, LM guideways, and tool magazines have defined service lives. However, there is currently no system to monitor their usage or predict wear-out in real-time. This results in unexpected breakdowns, poor maintenance planning, and production losses. A digital solution is needed to track usage life, generate timely alerts, and support preventive replacement of these critical components.

A smart system that:
1) Monitors the usage life of critical machine spares like ball screws, LM guideways, tool magazines, etc.

2) Tracks running hours, cycles, or load-based usage data (manually or via sensors)

3) Sends notifications and maintenance reminders as component life nears threshold

4) Maintains a history of replacements and spare consumption

5) Provides dashboards for maintenance planners and supervisors

1) Should support multiple spare types with configurable life thresholds

2) Easy interface to update manual readings or integrate sensor-based counters

3) Alerts through email/SMS/app notifications

4) Maintenance history log for each machine and spare

5) Must support linking with preventive maintenance schedules

1) IoT-enabled sensors (optional) for auto data capture

2) Frontend: React / Angular

3) Backend: Node.js / Django with Firebase or MySQL

4) Notification: SMS gateway / Email service

5) Dashboard: Web-based or Power BI integration

/events/sakthi_hackathon_1.0/hackathonregister/14/

Smart Notification System for Preventive and Predictive Maintenance in Manufacturing - SH10

In the current system, preventive maintenance (PM) schedules are tracked manually, and predictive maintenance (PdM) insights—if any—are not centralized. This leads to missed schedules, unplanned breakdowns, and reduced equipment reliability. A digital application is needed to manage PM/PdM schedules and generate timely, automated notifications for maintenance teams, improving machine uptime and resource planning.

A web application that:
1) Maintains preventive maintenance schedules based on machine-wise calendar or usage hours

2) Possibility to Integrate predictive alerts from condition monitoring data

3) Sends advance notifications for upcoming maintenance tasks

4) Supports escalation alerts if tasks are missed

5) Maintains maintenance history logs for analysis

6) Provides role-based dashboards and reporting

1) Customizable scheduling (daily, weekly, hourly run-time based)

2) Manual input or integration with sensors/machine counters

3) Alert system via SMS, email, or app notification

4) Maintenance status update and remarks capture

5) Report generation for audit and planning

6) Multi-user access with role segregation ( Supervisor, Manager)

1) Frontend: React / Angular / Flutter for app

2) Backend: Node.js / Django / Firebase

3) Database: PostgreSQL / MongoDB

4) Optional: IoT sensor integration via MQTT/REST API

5) Notification: Firebase Cloud Messaging / SMS Gateway

/events/sakthi_hackathon_1.0/hackathonregister/15/

Digital Application for Product Layout Inspection – Plan vs Actual Tracking - SH11

In the machining and quality control process, product layout inspection is a critical step to verify that components conform to dimensional and design specifications. Currently, inspection records—including plan vs actual dimension comparisons—are maintained manually in paper formats. This leads to difficulties in data retrieval, analysis, and audit readiness. A digital application is needed to record, compare, and store layout inspection results, improving traceability, accuracy, and compliance with quality standards.

A web based application that:
1) Digitally records layout inspection values (plan vs actual)

2) Highlights deviations and generates alerts if out of tolerance

3) Allows photo upload or CAD reference attachment

4) Maintains part-wise, batch-wise inspection history

5) Provides analytics dashboard for rejection trends and corrective action triggers

6) Enables electronic sign-off by quality engineers

1) Support for multiple product types and drawing revisions

2) Integration with handheld devices (tablets) at inspection stations

3) Secure access

4) Exportable reports for audits (PDF/Excel)

5) Searchable database by part number, date, machine, operator

6) Optional linkage with metrology data or CMM output

1) Frontend: React / Angular for web

2) Backend: Node.js / Django / Firebase

3) Database: MySQL / Firebase / MongoDB

4) Reporting: PDF generator & Chart.js for trend analysis

/events/sakthi_hackathon_1.0/hackathonregister/16/

Water Monitoring and Replenishment Tracking System for Achieving Water Positivity Standards - SH12

To move toward water positivity, an organization must monitor its water consumption, reduce wastage, and implement replenishment measures such as rainwater harvesting, wastewater recycling, and recharge pits. Currently, water consumption and replenishment efforts are tracked manually or through fragmented systems, making it hard to assess water balance and plan improvement actions. A unified digital platform is required to monitor water usage across the facility, track water-saving and recharge initiatives, and report against water-positive benchmarks.

A digital solution that:
1) Monitors real-time water consumption at key usage points (domestic, process, utility)

2) Tracks water recharge and replenishment activities (RWH pits, ETP/STP treated water, etc.)

3) Provides dashboards with water positivity indicators (e.g., Water Replenishment Ratio)

4) Generates reports for sustainability disclosures and audits

1) Integration with digital water meters or flow sensors at source and end-use points

2) Geotagging and visual documentation of recharge structures

3) Data archiving for monthly/annual comparisons

4) Dashboard accessible to operations, maintenance, and ESG teams

1) IoT-enabled water flow meters

2) Backend: Node.js / Django / Firebase

3) Database: MySQL / PostgreSQL / MongoDB

4) Dashboard: Power BI / React-based portal

/events/sakthi_hackathon_1.0/hackathonregister/17/

AI-Driven Carbon Net Zero Tracking and Optimization System for Manufacturing Operations - SH13

Sakthi Auto Component Limited is committed to achieving Carbon Net Zero by 2040 across its operations. However, existing systems lack the ability to measure, analyze, and reduce emissions at a granular level. There is an urgent need for a digital solution that can monitor real-time carbon footprints across different departments (melting, machining, dispatch, etc.), recommend actionable emission reduction strategies, and track the effectiveness of interventions over time. The system should also support carbon offset integration and reporting aligned with global sustainability frameworks.

A comprehensive digital platform that:
1) Calculates Scope 1, 2, and 3 emissions at process and part level

2) Uses AI/ML to identify emission hotspots and suggest optimization strategies

3) Tracks progress toward Net Zero milestones (2028, 2032, 2040)

4) Integrates carbon offset and afforestation project data

5) Generates audit-ready reports

6) Provides dashboards for internal ESG reporting

1) Must support multi-department emission tracking

2) Real-time data ingestion from logs

3) Emission factor library for fuels, materials, and transport

4) Role-based access and audit logs

5) Scalability for enterprise-wide rollout

1) Frontend: React / Angular

2) Backend: Django / Node.js with ML integration

3) Database: PostgreSQL / MongoDB

4) AI/ML: Python (scikit-learn, TensorFlow)

5) Cloud Support

/events/sakthi_hackathon_1.0/hackathonregister/18/

Automated Tooling Management and Digital Daily Inspection Recording System - SH14

In the machining shop, effective tooling management is crucial to maintain quality, productivity, and machine health. Currently, tool issue records, condition tracking, and daily inspection reports are maintained manually—leading to human error, missed inspections, and lack of traceability. A digital system is required to manage tooling inventory, track tool life, and auto-record daily tooling inspection results for traceability, compliance, and predictive maintenance.

A tooling management solution that:
1) Maintains a real-time inventory of all tools (cutting, holding, measuring, etc.)

2) Logs tool issue and return with user identification

3) Tracks tool life and usage cycles automatically

4) Captures daily inspection checklists digitally (tool wear, breakage, alignment)

5) Sends alerts for tool regrinding, replacement, or inspection overdue

6) Generates inspection history reports and tool performance analytics

1) Support for multiple tool types and tool crib categorization

2) Barcode/RFID-based tool identification (optional)

3) Inspection interface for operator or toolroom technician (PC)

4) Configurable checklist based on tool type and operation

5) Role-based access (Toolroom, QC, Production)

6) Backup and restore feature for compliance tracking

1) Support for multiple tool types and tool crib categorization

2) Barcode/RFID-based tool identification (optional)

3) Inspection interface for operator or toolroom technician (PC)

4) Configurable checklist based on tool type and operation

5) Role-based access (Toolroom, QC, Production)

6) Backup and restore feature for compliance tracking

/events/sakthi_hackathon_1.0/hackathonregister/19/

Automated Pattern History Monitoring and Tooling Revalidation Trigger System - SH15

In the foundry, each pattern used for casting has an associated Pattern History Card that tracks its usage, wear, and maintenance cycles. Currently, these cards are updated manually based on production records, and the process of sending revalidation requests to the Foundry QA department is also manual—resulting in missed schedules, delayed validations, and compromised casting quality. A digital system is required to auto-update pattern history based on actual production data and automatically notify the Foundry QA team when tooling revalidation is due.

An application / digital system that:
1) Auto-updates Pattern History Cards based on daily production entries

2) Tracks total shots/runs per pattern and compares against revalidation threshold

3) Sends auto-alerts or workflow-triggered emails to Foundry QA for revalidation

4) Logs maintenance, revalidation, and repair activities in a centralized system

5) Maintains searchable digital records of all pattern tools and their history

1) Integration with production log or ERP system for daily part count

2) Pattern ID mapping with machine, date, part number, and operator

3) Configurable revalidation criteria

4) Auto-alerts and approval workflow routing to Foundry QA

5) Role-based access for Production, QA, and Tool Room teams

6) Dashboard for upcoming validations and overdue items

1) Frontend: Angular / React Web Application

2) Backend: Django / Node.js / Firebase

3) Database: MySQL / MongoDB / Firebase

4) Notification: Email

5) QR tagging of patterns for scanning and update

/events/sakthi_hackathon_1.0/hackathonregister/20/

Digital Tracking System for New Product Development (NPD) Sample Records - SH16

"In the New Product Development (NPD) process, multiple product samples are created, tested, and validated across stages—pattern making, trials, machining, inspection, and customer feedback. Currently, these sample records are maintained manually, which leads to issues in version tracking, delayed feedback loops, and difficulty in traceability. A digital system is needed to monitor the lifecycle of each sample with real-time updates, approvals, and documentation for faster and error-free product development.

A digital platform that enables:
1) Creation of digital sample records for each new product

2) Stage-wise tracking: tool readiness, trial casting, machining, inspection, dispatch

3) Upload of related documents (drawings, inspection reports, approval notes)

4) Status dashboards showing pending stages, rejections, and approvals

5) Auto-alerts for overdue actions and version control for reworked samples

1) Unique ID assignment for each sample product

2) Configurable workflow and approval chain

3) Attachments (drawings, images, reports) at each step

4) Desktop interface for shop floor and office users

5) Audit trail for all updates and approvals

1) Frontend: React / Angular for web, Flutter for mobile

2) Backend: Node.js / Django / Firebase

3) Database: MySQL / Firebase / MongoDB

4) Document management: Local server integration

5) Option to integrate with existing ERP or PLM systems

/events/sakthi_hackathon_1.0/hackathonregister/21/

AI-Driven Alloy Addition System Based on Spectrometer Results and Process Capability - SH17

In the foundry process, alloying is a critical step to ensure the final chemical composition meets product specifications. Currently, alloy addition decisions are manually taken based on spectrometer readings and operator experience, which introduces variability and inconsistencies. There is a need for an AI-based system that automatically recommends or executes alloy additions by analyzing real-time spectro results and previous process capability data, ensuring faster, precise, and consistent metallurgical compliance.

An intelligent system that:
1) Receives real-time spectrometer readings post melting

2) Analyzes current composition vs target specifications

3) References historical process data and alloy correction patterns

4) Uses AI to recommend precise alloy addition (type and quantity)

5) Tracks decision accuracy and continuously improves recommendations using machine learning

1) Integration with spectrometer and furnace alloy feeding system

2) Configurable metallurgical specifications for different grades

3) AI model trained on historical chemical correction data

4) Interface for Metallurgy Managers review and override

5) Logs for decision history, effectiveness, and model accuracy

6) Alerts for abnormal readings or inconsistent corrections

1) AI/ML: Python

2) Backend: Node.js / Django

3) Frontend: Web dashboard with React / Angular

4) Database: MySQL / MongoDB

5) Real-time data integration via OPC/Modbus (for spectrometer and alloy feeders)

/events/sakthi_hackathon_1.0/hackathonregister/22/

Digital Documentation and Record Management - SH18

At Sakthi Auto, various departments maintain operational documents and records—ranging from production logs and inspection sheets to process control documents—using paper-based or semi-digital formats. A unified digital system is required to replicate and digitize all documents and records exactly as per existing workflows, ensuring seamless adoption without disrupting the current process logic.

An electronic / digital documentation system that:
1) Digitally replicates current manual formats

2) Supports department-wise process flow mapping

3) Enables real-time data entry, storage, and retrieval

4) Allows digital sign-off and escalation workflows

5) Maintains an audit trail for compliance

6) Offers configurable templates as per process type

1) Must mirror the current process flow without major re-engineering

2) Accessible from shop floor terminals, tablets, and office systems

3) Supports attachments (images, scanned reports, PDFs)

4) Role-based access with secure authentication

5) Backup and recovery capabilities

6) Option to integrate with DMS

1) Frontend: Angular / React

2) Backend: Django / Node.js / Firebase

3) Database: MySQL / MongoDB

4) PDF generation and document version control

/events/sakthi_hackathon_1.0/hackathonregister/23/

Digital Project Management Tracker with Plan vs Actual Monitoring and Delay Escalation System - SH19

Currently, project activities across departments—such as new product development, tooling, maintenance shutdowns, or infrastructure projects—are tracked manually using spreadsheets or written reports. This results in limited visibility, delayed response to deviations, and lack of accountability. A digital project management application is required to monitor Plan vs Actual timelines of project milestones, with built-in auto-alerts and escalation triggers for delayed or overdue activities.

A project tracking application that:
1) Enables digital planning of project milestones, dependencies, and timelines

2) Captures actual progress updates in real-time

3) Highlights delays and deviations visually

4) Sends automated alerts and escalations to responsible stakeholders

5) Maintains a history of task progress, delays, and corrective actions

1) Multi-user access with role-specific views (Project Manager, Engineer, QA, etc.)

2) Integration with email/SMS/WhatsApp for auto-alerts

3) Customizable escalation logic based on delay thresholds

4) Upload option for proof of progress (images, reports, etc.)

5) Reports and analytics for trends

6) Easy-to-use interface for shop floor and office staff

1) Frontend: React / Angular / Flutter

2) Backend: Django / Node.js

3) Database: PostgreSQL / Firebase / MongoDB

4) Notifications: Email, SMS Gateway

/events/sakthi_hackathon_1.0/hackathonregister/24/

Innovative Reuse Ideas and Buyer Identification for Furnace Slag Generated in Foundries - SH20

"Furnace slag is a by-product of the melting process in foundries, often treated as industrial waste. However, it has latent potential for reuse in areas like cement manufacturing, road construction, brick making, and other value-added applications. Currently, there is no structured approach to identify innovative reuses or link slag generators with potential end users. The challenge is to explore creative reuse possibilities and identify external industries or buyers who can effectively utilize furnace slag, promoting a circular economy and reducing environmental impact.

Innovative and implementable ideas that:
1) Identify novel or proven industrial applications for foundry slag

2) Propose methods to process or refine slag for reuse (if required)

3) Map out potential buyers or industries that could use the slag

4) Analyze economic, logistical, and environmental feasibility

1) Must consider slag composition and safety/environmental standards

2) Feasibility within industrial clusters or existing supply chains preferred

3) Solutions that require minimal processing or add commercial value

Not applicable (idea and strategy-based submission preferred)

/events/sakthi_hackathon_1.0/hackathonregister/25/

IoT and AI in Everyday Life - SH21

Ideas focused on the intelligent use of resources for transforming and advancements of technology with combining the artificial intelligence to explore more various sources and get valuable insights.

1. Intelligent traffic management system


2. automate various home appliances and systems, such as lighting, temperature, and security, and provide voice or gesture-based controls for individuals

1. Integration with real-time sensor data and AI-based decision engines for automation

2. Must support multi-modal user input (e.g., voice, gesture, mobile app) with latency under acceptable limits

3. Secure connectivity and interoperability with standard smart devices (e.g., Alexa, Zigbee, Google Home)

Any relevant Tech Stack can be used

/events/sakthi_hackathon_1.0/hackathonregister/26/

Green and Clean Technologies - SH22

Solutions could be in the form of waste segregation, disposal, and improve sanitization system.

1. Innovations pertaining to recycle/reuse of e-waste from energy sector

2. Affordable and clean energy

3. To improve waste management practices and reduce the impact of waste on the environment.

1. Must comply with environmental and safety standards for recycling or energy reuse

2. Use of cost-effective, scalable, and eco-friendly processes or materials

3. Capability to integrate with existing waste collection/monitoring systems or infrastructure

Any relevant Tech Stack can be used

/events/sakthi_hackathon_1.0/hackathonregister/27/

Agriculture, FoodTech & Rural Development - SH23

Developing solutions, keeping in mind the need to enhance the primary sector of India - Agriculture and to manage and process our agriculture produce.

1. Help farmers monitor their crops more efficiently, reduce pesticide use, and improve overall farm efficiency.

2. Effective Farming System

3. Crop and soil management System

4. Climate Action

1. Should support IoT-based field sensors, weather integration, and crop-specific advisory systems

2. Offline capability or mobile-first design for rural use with regional language support

3. Data analytics or AI integration for actionable insights on crop health, yield, and climate impact

Any relevant Tech Stack can be used

/events/sakthi_hackathon_1.0/hackathonregister/28/

Robotics and Drones - SH24

There is a need to design drones and robots that can solve some of the pressing challenges of India such as handling medical emergencies, search and rescue operations, etc.

1. Developments might save lives, increase efficiency in emergency rescue operations, and offer vital support during crises.

2. Greatly raise agricultural water use efficiency

3. Optimizing resources and raising crop output.

4. The process and lowering human effort in environmental cleaning projects

1. Must feature real-time control or autonomous navigation using GPS and AI/ML models

2. Equipped with sensors for water/chemical use, obstacle detection, or terrain adaptation

3. Robust build for diverse outdoor environments and safety-compliant operation

Any relevant Tech Stack can be used

/events/sakthi_hackathon_1.0/hackathonregister/29/

Renewable/ sustainable Energy - SH25

Innovative ideas that help manage and generate renewable /sustainable sources more efficiently

Create an effective and sustainable solution to reuse or recycle worn-out solar panels and E-Vehicle batteries, minimizing waste and maximizing the recovery of valuable materials for future use

1. Must include chemical/physical recovery processes that meet regulatory recycling standards

2. Design should focus on cost-effective, modular systems for scaling and replicability

3. Proven tracking and documentation of materials recovered, waste reduced, and energy saved

Any relevant Tech Stack can be used