Research Projects in Greater Chennai
Research Projects in Greater Chennai
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Janani .
Reconfigurable FIR-IIR filter
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Navaneetha Krishnan Kamalakannan
APC-RLNC: Adaptive Peer Clustering & Network Coding - Developed an adaptive Random Linear Network Coding system with EWMA-based peer scoring, distributed clustering, and redundancy optimization for vehicular networks. Built edge components across Python, C++, and Go, achieving 99.32% packet delivery ratio, 145 ms latency, and 12.7% lower energy consumption.
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sandhya
Shopify Case Study — Designing for Seamless E-commerce Experiences This case study explores how thoughtful UI/UX design can simplify and elevate the online selling experience using Shopify as the foundation. The focus was on understanding how users interact with e-commerce platforms — from product discovery to checkout — and identifying opportunities to improve clarity, speed, and conversion. 🔍 What I worked on: • Analyzing user journey from landing to purchase • Improving product page structure and hierarchy • Simplifying navigation and reducing friction • Enhancing mobile shopping experience • Creating a clean, conversion-focused UI 💡 Key insights: • Users value speed and clarity over heavy visuals • A well-structured layout directly impacts conversion rates • Mobile-first design is critical for modern e-commerce • Trust elements (reviews, pricing clarity, CTA) play a major role 🎯 Outcome: A refined, user-centric shopping experience that feels intuitive, fast, and reliable — helping users make decisions with confidence. This case study reflects my approach to solving real-world design problems through research, structure, and simplicity. Open to feedback and opportunities 🚀
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vigneshwar L
Most RAG systems have two problems that nobody talks about enough. The first is semantic drift — your retriever pulls in chunks that look relevant (high cosine score) but don't actually answer the question causally. Ask "Why did Lehman Brothers collapse?" and you'll get back chunks about the 2008 housing crisis — same vocabulary, but those are the consequences, not the cause. Cosine similarity can't tell the difference. The second is context poisoning — even if each individual chunk is okay, a window full of semi-relevant chunks confuses the LLM. It attends to all of them, averages them out, and hallucinates. VORTEXRAG fixes both. It's a 7-layer pipeline I built specifically around these two failure modes. Each layer has a specific job:
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Sudhir Menon Gangadharan
AI Tools , Conscious AI Workshop The ability to transform the future depends on how we can identify the patterns of data and this workshop is discussion around the same for specific industry
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Lavanya Ranganathan
Fuel Delivery App
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Ishwarya Suresh
Project Accord
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Tanaaz Khan
6 Creative Ways to Use Machine Learning for Small Business
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Nissha Nirmal Kumar
Engaging Blogging Portfolio
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Radhika Khemka
Ideation to MVP for a bicycle brand with different SKUs
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Janani .
IoT projects
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Navaneetha Krishnan Kamalakannan
Ionic Wind Energy Harvesting for Microscale Devices: Investigated a novel ionic-wind electrode design for improving energy-harvesting efficiency in microscale devices, with comparison against piezoelectric energy harvesting. The research was published by Springer in Lecture Notes in Networks and Systems in 2025.
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Tanaaz Khan
11 Expert Growth Tips to Get More YouTube Subscribers in 2023
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Tanaaz Khan
From Culture Plate to Dinner Plate – Lab-based Meat
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Tanaaz Khan
AI Script Generator: How to Create Creative Scripts 10x Faster
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Tanaaz Khan
8 Features To Manage Content Using A Sales Enablement Tool
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