The Honeywell Technologies Campus Connect Program is a flagship initiative designed to foster continuous engagement with students from top partner colleges. This program transcends traditional recruitment efforts by creating a series of leadership talks, hackathons, tech sessions, and industry interactions. It offers students an immersive experience into the world of Honeywell Technologies.
Through various engagements, the aim is to share Honeywell Technologies’ innovation narrative, showcase its vibrant culture, and inspire the next generation of problem-solvers and technology leaders. Early connections with young talent help build lasting relationships and reinforce Honeywell Technologies’ status as an employer of choice on campus.
Step into the shoes of a Honeywell Technologies innovator. Work on real-world problem statements, showcase your technical expertise, and bring your creative solutions to life.
Transform theoretical knowledge into practical solutions
Enhance your coding and problem-solving skills
Develop creative solutions to complex challenges
Stand a chance to earn your spot in Honeywell Technologies’ prestigious Internship Program
and get noticed by one of the world’s leading technology organizations.
B.E. / B.Tech students from
Computer Science, Information Technology, Information Science, AI, ML, and allied branches
Graduating in 2027 with
6.0 CGPA and above
Must be from Honeywell Technologies’
partner college list
MCQs (Aptitude + Technical)
Coding Challenge
Work on real-world engineering use cases
Pitch innovative, structured solutions
Shortlisted candidates may choose any one of the following case-based problem statements for Round 2.
Develop an AI-powered autonomous Building Management System that optimizes energy consumption while maintaining occupant comfort. Integrate EnergyPlus with an open-source LLM via the Model Context Protocol (MCP) to build a closed-loop system that analyzes real-time data, reasons against energy, comfort, and carbon goals, and automatically updates operating parameters. Deliverables include source code, building models, a savings dashboard, architecture documentation, and a demo video. Evaluated on reliability, energy savings, comfort, AI autonomy, code quality, and presentation.
Build an intelligent fire evacuation system that dynamically identifies the safest exit routes during emergencies. Using microcontrollers such as ESP32, STM32, or Raspberry Pi Pico W, fuse real-time temperature, smoke, flame, and occupancy data to assess hazards and recalculate routes. Update LED indicators, alarms, and dashboards within milliseconds to guide occupants. Demos include multi-node communication, a fire simulator, a live dashboard, and fail-safe operation. Evaluated on routing accuracy, sensor fusion, responsiveness, visualization, scalability, and reliability.
Design an AI/ML-based behavioral anomaly detection system that identifies cyber threats by learning normal user and device access patterns instead of signature-based security. Generate synthetic access logs and detect real-time anomalies such as credential misuse, brute-force attacks, lateral movement, impossible travel, and device spoofing, addressing class imbalance, concept drift, and cold-start scenarios. Classify attack types, provide explainable risk scores, and include an analyst dashboard. Evaluated on detection accuracy, low false positives, explainability, scalability, classification, design.
Develop an autonomous controller that optimizes an oil well's production choke using a provided simulator, adjusting choke positions to hit target oil output while maintaining safe limits for Wellhead Pressure (WHP), Flowline Pressure (FLP), and Bottom Hole Pressure (BHP). Model well's dynamic behavior, implement predictive control, and comply with choke movement constraints. Maximize safe production, adapt to changing targets, and handle infeasible conditions. Evaluated on control performance, safety, predictive modeling, constraint compliance, and multi-scenario demonstration.
Create an AI-driven decision support system that predicts and prevents quality deviations during paper grade transitions. Analyze historical process data to identify known and hidden correlations among process variables, predict Basis Weight deviations before they exceed limits, and recommend setpoints to maintain safe conditions and reduce stabilization time. Provide explainable recommendations, visualize insights through an interactive dashboard, and capture operator feedback for continuous learning. Evaluated on prediction accuracy, process optimization, explainability, usability, and historical-data use.
Registration Opens
14-19 July 2026
Online Assessments
21 & 22 July 2026
Hackathon Weekend
25-26 July 2026
Results of Hackathon
26 July 2026
Interviews Begin
30 July 2026 onwards
Honeywell Technologies is a global automation leader driving the industrial world’s transition from automation to autonomy. Built on Honeywell Technologies’ 140-year legacy of innovation, we deliver mission-critical technologies, software, and solutions that help customers improve safety, productivity, efficiency, and sustainability across buildings, industrial operations, and process industries. With deep domain expertise and a focus on customer outcomes, Honeywell Technologies is shaping the future of intelligent industrial operations.
Show moreHTCS is Honeywell Technologies’ global engineering and technology powerhouse, driving innovation across our major businesses - Building Automation, Industrial Automation, Process Automation and Technology. HTCS brings together deep domain expertise, advanced digital and software capabilities, and end-to-end engineering services to accelerate new product development, scale connected solutions and deliver seamless product lifecycle support for our customers. With a strong customer-centric and co-innovation mindset, HTCS plays a critical role in shaping Honeywell Technologies’ technology transformation and future growth.
In India, HTCS is committed to local development, evident through initiatives such as community education programs, supporting make-in-India initiative, leadership in sustainability. HTCS enables Honeywell Technologies to bring smarter, faster, and more sustainable solutions to market, with a strong focus on agility, scalability, and customer value.
Honeywell Technologies is committed to investing in its workforce by providing a range of experiences tailored for early career professionals, including:
Enhance your tech and leadership skills such as the Honeywell Technologies Learning Hub and Lean Six Sigma certification.
Partnerships with top Indian universities that bring internships and co-op opportunities to life.
Access to state-of-the-art simulation-based tools for practical training experiences.
You can participate by registering through the official registration link. Once registered, you will receive further communication regarding Round 1 (online assessment).
No, participation in the Honeywell Technologies Hackathon is completely free.
Eligibility is only open to students graduating in 2026.
B.E./B.Tech students from the following streams are eligible:
Only students from Honeywell Technologies’ partner colleges are eligible. Please check with your placement office or event page for the list of eligible institutes.
You can register only once. Multiple registrations are not allowed and will lead to disqualification.
Yes. You must:
Round 1 will consist of MCQs and coding problems focused on core technical concepts and problem-solving skills.
Please keep checking your emails. Your results & next steps will be communicated to you via email.
The Hackathon round will be individual, and it is not team based.
Top-performing students will be selected for internship opportunities for 6 months winter internships at Honeywell Technologies starting from Jan’26 onwards.
Internships will be offered at Honeywell Technologies office locations in India. Specific locations will be communicated at the time of offers.
Yes. The internship at Honeywell Technologies will be a paid opportunity.
Yes. Based on performance during the internship, you may be considered for a full-time opportunity at Honeywell Technologies.
For any queries or support, please email us at campusconnect@mycareernet.co.