BEST STUDENT PROJECTS
The wonderful part for the most successful students is when they can combine their stories about the good time they had with stories about working on interesting student projects to support a good cause.
A successful Best student Project will be
1. Choose a good cause for your student project:
A Best Student will work on a range of projects related to sustainable development in developing countries as a part of their course work on sustainable development. I always encourage them to think about the practical side of case studies and consider the implementation of their student projects.
2. Be Creative:
One of the most difficult parts of student projects – and any project in real life – is to find an innovative solution for problems around us. Paradoxically, it is not so difficult to identify large-scale global problems; however it is a challenge to scale them down to make them manageable for student teams and for implementation with a very limited budget.
Very often students think too big – at a very large scale – and promise to move mountains. The real skill in innovations, including social innovations, is to see the big picture and identify an angle or smaller target problem for a creative solution.
3.Choose an appropriate angle and make it applicable:
The secret of any creative thinking lies in the ability to identify the right combination of effort and resources – finding a good solution at minimal cost. Very often this approach requires a different look at already widely used materials and resources. It is also essential to choose an appropriate angle that is applicable in a particular environment – city or rural, high intensity or low intensity, etc.
4.Remember presentation and planning is essential:
Just finding an interesting and innovative solution is not enough. There are two important aspects to consider and address: style of presentation, and timing. Very often brilliant ideas are not appreciated when they are not written in the language of the grant/award requirements or “investment angel” views on innovation, so it is obvious that you need to do a little homework before submitting an application. It is really essential to prepare a high-impact presentation, project summary and description, which is tailored to your project funding or supporting organization according to their published requirements.4
BEST STUDENTS PROJECT LIST(2023-2024) | |||
S:NO | LIST OF STUDENTS | PROJECTS-Title | Guide Names |
1 | 208R1A6613 | CUSTOMER SEGMENTATION USING MACHINE LEARNING | Mr N Venkatesh |
208R1A6652 | |||
208R1A6641 | |||
218R5A6605 | |||
2 | 208R1A6627 | SMART FARM USING ML | Mr Rasheed Uddin |
208R1A6653 | |||
208R1A6640 | |||
208R1A6636 | |||
3 | 208R1A6629 | AI-BASED TUBERCULOSIS CLASSIFICATION IN CHEST X-RAYS | Mrs Amarajyothi |
208R1A6610 | |||
208R1A6646 | |||
208R1A6656 | |||
4 | 208R1A6634 | DETECTION OF LIVER CANCER USING IMAGE PROCESSING TECHNIQUES | Mr G Venkateswarlu |
208R1A6606 | |||
208R1A6638 | |||
208R1A6615 | |||
5 | 208R1A6654 | LANE DETECTION AND OBJECT IDENTIFICATION USING ML TECHNIQUES FOR AUTONOMOUS VEHICLES | Mrs AmaraJyothi |
208R1A6655 | |||
208R1A6657 | |||
208R1A6639 | |||
6 | 208R1A6661 | TITLE RECOGNITION FROM MOVIE POSTERS USING CNN | Mr Dr M Kumara Swamy |
208R1A66A4 | |||
208R1A6672 | |||
208R1A66A8 | |||
7 | 208R1A66C6 | TONGUE-BASED OPERATING SYSTEM MERGED WITH ARTIFICIAL INTELLIGENCE | Mr L B Pandey |
208R1A66E3 | |||
208R1A6695 | |||
208R1A66A3 | |||
8 | 208R1A6696 | THE INTELLIGENCE AMBULANCE-BRIDGING AI AND HUMAN INTERACTION | Mr R. S Panda |
208R1A6689 | |||
208R1A6694 | |||
208R1A66B8 | |||
9 | 208R1A6686 | SIGN LANGUAGE TRANSLATOR FOR SPEECH-IMPAIRED | Mr U Nagaiah |
208R1A6678 | |||
208R1A6693 | |||
218R5A6611 | |||
10 | 208R1A6677 | TWO WAY MULTILINGUAL VOICE ASSISTANT | Mr Dr M Kumara Swamy |
208R1A66B7 | |||
208R1A6670 | |||
208R1A6690 | |||
11 | 208R1A66C5 | EXPLORING MOVIE RECOMMENDATIONS THROUGH CONTENT ANALYSIS | Mrs Suhasini TS |
208R1A66G2 | |||
208R1A66C4 | |||
208R1A66D6 | |||
12 | 208R1A66D3 | DETECTION OF TRIPLE RIDE AND WITHOUT HELMET DETECTION USING YOLO V3 | Mr Dr M Kumara Swamy |
208R1A66D9 | |||
208R1A66E0 | |||
208R1A66E7 | |||
13 | 208R1A66F0 | APPLICATION TO TRANSLATE LOCAL DIALECTS TO UNIVERSALDIALECTS | Mrs S Priyanka |
208R1A66D5 | |||
208R1A66G5 | |||
208R1A66G0 | |||
14 | 208R1A66F2 | PREDICTION OF DDOS ATTACKS | Mrs B Revathi |
208R1A66F4 | |||
208R1A66G9 | |||
218R5A6613 | |||
15 | 208R1A66G4 | TRAFFIC SIGN RECOGNITION USING CNN | Mr Shiva raj |
208R1A66F1 | |||
208R1A66E6 | |||
208R1A66H8 | |||
16 | 208R1A66H4 | EMOTION RADAR | Mrs M Sabitha |
208R1A66H3 | |||
208R1A66I0 | |||
17 | 208R1A66D7 | FACE RECOGNITION-BASED HUMAN AGE ESTIMATION AND GENDER IDENTIFICATION USING OPENCV | Mr LB Pandey |
208R1A66E2 | |||
208R1A66H9 | |||
208R1A66C8 |
BEST STUDENTS PROJECT LIST(2024-25) | ||||
TEAM ID | ROLL NUMBER | TEAM MEMBERS | Project Title | Project-Gude |
662125-MI001 | 218R1A6601 | A.S.SIDHARTHA | Multi-Lingual Text to Vedio Conversion | MR.RADHE SHYAM PANDA |
228R5A6610 | NAGARAJU | |||
218R1A6642 | HARSHAVARDHAN | |||
218R1A6643 | LOKESH | |||
662125-MI002 | 218R1A6603 | A.AVINASH | Text Emotion Classification | MRS.AMARAJYOTHI |
218R1A6646 | P.STANLEY | |||
218R1A6631 | M.ASHOK KUMAR | |||
218R1A6614 | G.SHASHI KUMAR | |||
662125-MI003 | 218R1A6634 | MD.NISHAD ANWAR | TRADING PRICE PREDICTOR | MRS DIVYA SREE |
218R1A6602 | ABDUL RISHAAD | |||
218R1A6618 | K.PRANAY | |||
218R1A6637 | MD.SUMAIR | |||
662125-MI004 | 218R1A6654 | NIKHILA | Sorting Algorithm Visualization | MR.N. VENKATESH |
218R1A6655 | SRI VARSHA | |||
218R1A6656 | SUNITA NEOGI | |||
218R1A6609 | MANJULA | |||
662125-MI005 | 218R1A6612 | CHAITANYA | Heart Disease Prediction | MRS S. PRIYANKA |
218R1A6623 | K.AVINASH | |||
218R1A6616 | J.SHIVANI | |||
218R1A6658 | T.NIKHITA | |||
662125-MI006 | 218R1A6640 | N.PAVANI | AI POWERED CLEANING ROBOTS | G Venkateswarlu |
218R1A6620 | K.CHANDANA SRUTHI | |||
218R1A6608 | N.CHARISHMA | |||
218R1A6611 | D.SAI PRIYA | |||
662125-MI007 | 218R1A6652 | RAKSHITHA | TEXT PROCESSING | DR M.KUMARA SWAMY |
218R1A6607 | SHIVA | |||
218R1A6649 | ARUNJYOTHI | |||
218R1A6621 | BHANU PRAKASH | |||
662125-MI008 | 218R1A6619 | K.SAI SRINIVASULU | Carrier Path Advisor | MRS M.SABITHA |
218R1A6615 | G.RONITH | |||
218R1A6605 | HARIYANTH | |||
218R1A6661 | VARUN | |||
662125-MI009 | 228R5A6607 | VAMSHI | Stable Diffusion With Generative AI | DR S.RASHEED UDDIN |
218R1A6645 | ESHWAR | |||
228R5A6605 | ARUN RAO | |||
218R1A6641 | CHANDRAHAS | |||
662125-MI010 | 218R1A6644 | DANUSH | Unmasking Misinformation using ML | Dr S Rasheed uddin |
218R1A6664 | SUMANTH | |||
218R1A6660 | SATHYADEV | |||
218R1A6657 | GANESH | |||
662125-MI011 | 218R1A6626 | K.SNIGDHA | AUTOMATIC HTML CODE GENERATION FOR MOCK-UP IMAGES USING MACHINE LEARNING TECHNIQUES | MR BALAKRISHNA |
218R1A6663 | V.SINDHUJA | |||
218R1A6639 | N.BHUVANA | |||
218R1A6633 | M.SAI TEJA | |||
662125-MI012 | 218R1A6617 | RAVI TEJA | College Aminities Application | Mr G Venkateswarlu |
218R1A6629 | VIVEK | |||
218R1A6628 | VINOD | |||
218R1A6659 | DEVENDRA SAI | |||
662125-MI013 | 218R1A6627 | K.SINDHU | Predicting The Title For the Given Data | MRS R.P. SANTHI RANI |
218R1A6630 | LAVANYA | |||
218R1A6636 | MD.JAFFER | |||
218R1A6638 | MD.TAJ UDDIN | |||
662125-MI014 | 218R1A6622 | ARVIND | Language Detection By using ML | MRS G.SUMANGALA |
218R1A6632 | PRANEETH KALYAN | |||
228R5A6601 | PRAPUL | |||
218R1A6613 | AJAY | |||
662125-MI015 | 218R1A6662 | ARUNSAI | REAL-TIME WEATHER FORECASTING APP | MRS M.SOUJANYA |
218R1A6606 | KRUPAKIRAN | |||
218R1A6647 | SUSANTH | |||
218R1A6648 | MANOJ | |||
662125-MI016 | 218R1A6650 | SATHIVIK | REAL TIME VEHICLE COUNTING AND CLASSIFICATION USING DART NET FRAMEWORK | MR. AMITH KUMAR |
218R1A6651 | SRIPAL | |||
218R1A6653 | PRAVAS SAGAR | |||
218R1A6635 | MD . AIJAZ AHMED | |||
662125-MI017 | 228R5A6606 | G Arvind | Level Authentication | MR G.VENKATESWARLU |
228R5A6603 | ARJUN | |||
228R5A6602 | RAKESH | |||
218R1A6604 | CHARITH | |||
218R1A6624 | K Durga |